Biological models genetic. Medical search. Frequent questions

Systems Biology Modelling: Molecular mechanisms using genome-scale metabolite networks and other biological networks. (uni-potsdam.de)
If we can establish a relationship between these RLS-related genes and their protein products, then we can begin to understand the specific biological mechanisms that are unique to RLS. (hopkinsmedicine.org)
Our improved understanding of the underlying mechanisms and processes that cause genetic-driven RDs will be used to devise new diagnostic and therapeutic approaches, to reduce patient suffering. (europa.eu)
The dynamics of genetic variation (variance across different genotypes) and environmental variation (variance across different environments) may be controlled by different mechanisms. (nature.com)
with computational models that illustrate these mechanisms. (mit.edu)
In Compositional Evolution , Richard Watson uses the tools of computer science and computational biology to show that certain mechanisms of genetic variation (such as sex, gene transfer, and symbiosis) allowing the combination of preadapted genetic material enable an evolutionary process, compositional evolution, that is algorithmically distinct from the Darwinian gradualist framework. (mit.edu)
After reviewing the gradualist framework of evolution and outlining the analogous principles at work in evolutionary computation, Watson describes the compositional mechanisms of evolutionary biology and provides computational models that illustrate his argument. (mit.edu)
Dartmouth geneticists instead rely on the information contained in the PHPN's topology to automatically classify traits and diseases by their shared genetic mechanisms, such as common genes or pathways. (scienceblog.com)
They are organized into sections on genetic theories (inherited mechanisms that cause or predispose people to be addicted), metabolic theories (biological, cellular adaptation to chronic exposure to drugs), conditioning theories (built on the idea of the cumulative reinforcement from drugs or other activities), and adaptation theories (those exploring the social and psychological functions performed by drug effects). (healthyplace.com)
An understanding of the mechanisms that underlie these features is of fundamental importance for all biological disciplines. (lu.se)
You will learn about the mechanisms that are involved in plant evolution, distribution and diversity, as well as how mating systems and population structure influence gene flow and genetic diversity in plants. (lu.se)
New systems processing of numerous and different kinds of signals, math- must capture the specific biological mechanisms of opera- ematical and computational methods are required to model tion and distributed regulation at work within the genome. (lu.se)

To investigate how genes and phenotypes are transmitted, we developed a general model that, for the first time, considers concurrently: multiple loci, quantitative and qualitative gene expression, assortative mating, dominance/recessivity inheritance and density-dependent demographic effects. (nature.com)
Our results reveal that the conclusions about how hybridization threatens a species can be biased if they are based on single-gene models, while considering two or more genes can correct this bias. (nature.com)
In fact, as Ken Richardson (author of the 2017 book Genes, Brains, and Human Potential ) and Michael C. Jones showed in a 2019 analysis, polygenic scores may be "confounded by formidable biological, social, and statistical, as well as technological difficulties. (madinamerica.com)
We are working on discovering what those dynamic relationships are by better understanding the biological roles that each of these genes play within cells. (hopkinsmedicine.org)
Genetic variance in expression increases at 18 °C relative to 25 °C for most genes that have a change in genetic variance. (nature.com)
In addition to environmental factors, phenotypes can also respond to genetic perturbations in a plastic or homeostatic manner, which characterizes the potential of an organism to express phenotypes when genes mutate. (nature.com)
In this setting, a crescent focus has been placed on the identification of genes, associated genetic polymorphisms, and multiple susceptibility loci. (scielo.br)
This review highlights the genes and genetic polymorphisms currently studied, identified as influential in the genesis of IS, such as MMP-3, IL-6, type I collagen, and vitamin D and estrogen receptors. (scielo.br)
En ese sentido, existe un creciente enfoque en la identificación de genes, polimorfismos genéticos asociados y loci de susceptibilidad múltiples. (scielo.br)
La presente revisión destaca los genes y polimorfismos genéticos actualmente estudiados, identificados como influyentes en la génesis de la EI, como los genes MMP-3, IL-6, colágeno tipo 1 y receptores de vitamina D y de estrógeno. (scielo.br)
The advent of new methods to obtain large-scale surveys of various mathematical structures, such as systems of differen- gene expression in which transcript levels can be determined tial equations, graphical networks, stochastic functional re- for thousands of genes simultaneously has facilitated the ex- lations, and simulation models. (lu.se)
Therefore it is not surpris- pansion of biological understanding from the analysis of in- ing that the advent of high-throughput genomic and pro- dividual genes to the analysis of systems of genes (and pro- teomic technologies is drawing a growing interest from the teins). (lu.se)
eling require a broad range of signal processing approaches, Two salient goals of functional genomics are to screen for including signal representation relevant to transcription and key genes and gene combinations that explain specific cel- system modeling using nonlinear dynamical systems. (lu.se)
In the future, paediatric prospective studies will be able to provide more detailed risk prediction models combining genes, the environment, and biological corroboration from multiomics. (lu.se)
The models are mainly based on the interaction between different genes and proteins, for example in stem cells. (lu.se)

In addition, we suggest several computational tools for studying the distribution of double mutants in the space of model phenotype probabilities. (researchgate.net)
In genetic interactions, synergy occurs when the contribution of two mutations to the phenotype of a double mutant exceeds the expectations from the additive effects of the individual mutations [74]. (researchgate.net)
Statistical Genetics Modelling: Quantitative genetics models for phenotype prediction and causal gene discovery. (uni-potsdam.de)
In a population of genetically diverse individuals, the extent of genetic variation of a phenotype measures the overall sensitivity of individuals to mutations segregating in the population. (nature.com)

We also show that demography can amplify or balance the genetic effects, evidencing the need of jointly incorporating both processes. (nature.com)
Multi-Omics Data Analysis: Integration of genomic data with intermediate molecular data to comprehensively interpret biological processes. (uni-potsdam.de)
Aspects of oceanic life are investigated using powerful techniques of molecular biology, biochemistry, cell biology, genomics, proteomics, sophisticated acoustic and optical methods, behavior, ocean informatics, and mathematical modeling of molecular processes and population dynamics. (whoi.edu)
Sven also has an interest in Systems Biology, modelling genetic networks pertaining to specific biological processes. (unil.ch)
A single-cell analysis of 3D models of the human cerebral cortex suggests they can be used to study important brain processes that have been difficult to investigate. (broadinstitute.org)
The intrinsic multi-scale nature of these systems, both in space, in organization levels, and in time, makes extremely difficult to model all of them in a uniform way, e.g. by means of differential equations or discrete stochastic processes. (bio.net)
Indeed, an important open problem is finding appropriate computational models that scale well for both the simulation and formal analysis of biological processes. (bio.net)
Hybrid modeling techniques, combining discrete and continuous processes, are gaining more and more attention in systems biology, and they have been applied to successfully capture the behavior of several biological complex systems, ranging from genetic networks, biochemical reactions, signaling pathways and cardiac tissues electrophysiology. (bio.net)
A model organism is a species used by researchers to study specific biological processes. (leica-microsystems.com)
However, the simple process of linear incremental improvement that he described is only one algorithmic possibility, and certain biological phenomena provide the possibility of implementing alternative processes. (mit.edu)
He shows that the models of sex and symbiosis are algorithmically distinct from simpler stochastic optimization methods based on gradual processes. (mit.edu)
They are often considered-even by those who formulate them-as adjuncts to biological models, as in the suggestion that the addict uses a substance to gain a specific effect until, inexorably and irrevocably, physiological processes take hold of the individual. (healthyplace.com)
Biological applications include the study of decomposition processes in soil where fungi interact with organic molecules and mineral particles. (lu.se)

Genetic interaction can be defined as a deviation of the phenotypic quantitative effect of a double gene mutation from the effect predicted from single mutations using a simple (e.g., multiplicative or linear additive) statistical model. (researchgate.net)
He has conducted "quantitative genetic" twin and adoption studies since the 1970s, and since the early 1990s he has also conducted molecular genetic studies in an attempt to discover genetic variants that he believes underlie "general intelligence" (IQ) and other areas of behavior. (madinamerica.com)
An adaptive genetic algorithm for parameter estimation of biological oscillator models to achieve target quantitative system response. (uni-lj.si)
Using whole-genome quantitative gene expression as a model, here we study how the genetic architecture of regulatory variation in gene expression changed in a population of fully sequenced inbred Drosophila melanogaster strains when flies developed in different environments (25 °C and 18 °C). We find a substantial fraction of the transcriptome exhibited genotype by environment interaction, implicating environmentally plastic genetic architecture of gene expression. (nature.com)
The course consists of different components including inheritance analyses of cross breeding and pedigree-data, use and properties of genetic markers and sequence data, non-Mendellian inheritance and epigenetic phenomena, basic linkage analyses and mapping, quantitative genetics and analysis of complex properties, classical population genetics and evolution of genetic and reproductive systems. (lu.se)

We describe a computational methodology allowing to systematically and quantitatively characterize a Boolean mathematical model of a biological network in terms of genetic interactions between all loss of function and gain of function mutations with respect to all model phenotypes or outputs. (researchgate.net)
In addition, it can be used to predict genetic interactions [3] by comparing the sensitivity value of a double gene mutation from the value predicted from single mutations, and reveal the network intervention [4] by applying the state-flip mutation subject to a single gene. (researchgate.net)
There have been many in silico studies based on a Boolean network model to investigate network sensitivity against gene or interaction mutations. (researchgate.net)
In the first case study, we observed that the real biological networks were most sensitive to overexpression/state-flip and edge-addition/-reverse mutations among node-based and edgetic mutations, respectively. (researchgate.net)
A team of researchers from Harvard Medical School, using computing resources at the U.S. Department of Energy's National Energy Research Scientific Computing Center (NERSC), have demonstrated a mathematical toolkit that can turn cancer-mutation data into multidimensional models to show how specific mutations alter the social networks of proteins in cells. (nersc.gov)
Based on clinical phenotypes, its definite genetic diagnosis can be simply grouped into specific, uncertain, and unknown gene mutations with a priority of genetic approach methods. (bvsalud.org)
The genetic expression of APOE4 constitutes one of the highest genetic risk factors for developing AD, yet, new mutations are being discovered potentially influencing AD's pathology, hence evidencing the profound impact of the APOE genotype in AD pathophysiology [2]. (lu.se)

Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. (uni-potsdam.de)
Characterization of effects of genetic variants via genome-scale metabolic modelling. (uni-potsdam.de)
Our research group works on constructing and refining computational models to describe genetic, epigenetic and metabolic networks. (lu.se)

In addition to that, your parents, family, friends, or lovers may have modeled addictive behaviors or inability to cope with emotions in a healthy manner . (psychologytoday.com)

Sven's work in the field of computational biology includes designing and applying novel algorithms for the analysis of large-scale biological and medical data. (unil.ch)
Professor Forrest directs the Adaptive Computation Laboratory at UNM, where she studies adaptive systems, including genetic algorithms, computational immunology , biological modeling, automated software repair, and computer security. (unm.edu)
Computational techniques, including predictive algorithms and mathematical models that describe a selected process (e.g., skin permeation) by means of analytical or numerical methods. (cdc.gov)

Artificial Intelligence in Genetics: Machine learning / deep learning models for genetic architecture and environmental perturbation. (uni-potsdam.de)
The mission of the Psychiatric & Neurodevelopmental Genetics Unit Mass General is to identify and characterize the genetic basis of psychiatric, behavioral and neurodevelopmental disorders and to translate these discoveries to improvements in clinical care and public health. (massgeneral.org)
The general aim of the course is that students on completion of the course should have developed a population genetic way of thinking and use this to plan and perform genetic analyses, including analyses of results from population genetics research. (lu.se)

Biological Psychiatry, 87(6), 502-513. (massgeneral.org)
Biological Psychiatry , 66 (12), 1131-1138. (bvsalud.org)

2013 "Genetic Variation + Human Health" 2012 "ECCB'12, 11th European Conference on Computational Biology" in association with the 10th Basel Computational Biology conference. (wikipedia.org)
Importantly, the state of plasticity or homeostasis, with respect to either genetic or environmental variation, is not necessarily static and can be modified by both genetic and environmental factors. (nature.com)
Change in genetic variation across environments is one of the many forms of genotype by environment interaction (G×E). G×E can be interpreted equivalently either as variable genetic architecture across environments or as variable environmental plasticity across genotypes, depending on what factor is chosen as the context. (nature.com)

Topics of interest include, but are not limited to: - Hybrid models of biological systems (case studies of genetic, cellular networks, models of tissues, etc. (bio.net)
A variety of biochemical, molecular biological and genetic methods are employed in cellular and animal models together with studies in humans. (uwo.ca)

To that end, we develop computational methods in statistics, probabilistic modeling, and bioinformatics, and work in a close collaboration with experimental labs to design and perform high-throughput experiments. (tau.ac.il)
Apologies for multiple copies - changes on topic list and special issue] First International Workshop on Hybrid Systems and Biology Newcasle upon Tyne, UK, September 3, 2012 Colocated with CONCUR 2012 http://hsb2012.units.it/ The goal of systems biology is to provide a system-level understanding of biological systems by unveiling their structure, dynamics and control methods. (bio.net)
CSE 527: Computational Biology Introduces computational methods for understanding biological systems at the molecular level. (washington.edu)
METHODS: We used mouse models of DOCA+salt (DOCA) treatment and adoptive transfer of CD8+ T cells (CD8T) from hypertensive animals to normotensive animals in in vivo studies. (bvsalud.org)
Together we develop new models and methods for new types of experiments and data. (lu.se)

An unequivocal molecular diagnosis could allow for prediction of clinical outcome, providing genetic counseling, avoiding unnecessary studies or interventions, and possibly uncovering the pathogenic mechanism. (bvsalud.org)

Designing genetic circuits enables us to program the behavior of living organisms. (unm.edu)
We work on developing such techniques for proving the correctness of programs specified as abstract chemical reaction networks, and on applying automated techniques such as model checking and satisfiability modulo theories solving to analyze the behavior of biomolecular systems. (unm.edu)

It is also a wonderful case study in the effectiveness of abstract computer modeling of biological ideas. (mit.edu)
ABSTRACT The burden of influenza was estimated from surveillance data in Tunisia using epidemiological parameters of transmission with WHO classical tools and mathematical modelling. (who.int)

I am also interested in genetic network analyses and causal modeling for complex biological data. (jax.org)

Genetic (biological) determinism has been defined as "the idea that most human characteristics, physical and mental, are determined at conception by hereditary factors passed from parent to offspring….largely [but not entirely] unaffected by environmental factors. (madinamerica.com)
Studies endeavoring to separate genetic from environmental factors, such as those in which adopted-away offspring of alcoholics were compared to adopted children with nonalcoholic biological parents, have claimed a three to four times greater alcoholism rate for those whose biologic parents were alcoholic (Goodwin et al. (healthyplace.com)
There is a need to integrate new biological knowledge into public health programs that address social and environmental issues rather than perpetuate a false dichotomy between social and biological models of health and disease. (cdc.gov)
This Review highlights the information now available from international paediatric prospective studies on genetic and environmental risk factors for coeliac disease. (lu.se)
In addition, recent omics studies have made it possible to study complex interactions between genetic and environmental factors and thereby further our insight into the causes of the disease. (lu.se)
AD pathology presents a complex etiology influenced by genetic and environmental factors. (lu.se)

To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. (geneticlogiclab.org)
Hybrid modeling and simulation of biomolecular networks. (dagstuhl.de)
Furthermore such models are often not easily amenable to formal analysis and simulation at the organ or even the cell level is frequently impractical. (bio.net)

Finally, our model reveals a novel mechanism for robust perfect adaptation through protein-protein interactions that enhance complex stability. (nih.gov)
Darwin's masterful contribution was to provide an algorithmic model (a formal step-by-step procedure) of how adaptation may take place in biological systems. (mit.edu)
Yet these adaptation models, while pointing in the right direction, fail because they do not directly explain the pharmacological role the substance plays in addiction. (healthyplace.com)

This study looks deeper into complex genetic regulation (epigenetics) to determine if inheritance risk lies within these factors. (hopkinsmedicine.org)
There is a need to move beyond the notion that genetic information requires more regulation and scrutiny than other medical or health information. (cdc.gov)

He uses models such as the genetic algorithm as well as novel models to explore different evolutionary scenarios, comparing evolution based on spontaneous point mutation, sexual recombination, and symbiotic encapsulation. (mit.edu)
9.4 Self-organizing algorithm for state space modeling. (who.int)

We develop and analyse models of biological networks to improve our understanding of how living cells and tissues function. (lu.se)

Experimentally characterized genetic interaction networks in model organisms provide important insights into relationships between different biological functions. (researchgate.net)
Research in the Biology Department at WHOI encompasses a diversity of organisms, levels of biological organization, and approaches. (whoi.edu)

5.4 Modeling cancer incidence. (who.int)

Signals generated by the genome must be processed to the genome, regulatory models require the kind of nonlinear characterize their regulatory effects and their relationship to dynamics studied in signal processing and control. (lu.se)

3. Genetic Polymorphisms in Metabolising Enzymes as Lung Cancer Risk Factors (Angela Risch, Heike Dally and Lutz Edler). (who.int)

We work on prototyping novel genetic regulatory motifs in cell-free transcription/translation systems and on realizing these in living cells and in synthetic cells. (unm.edu)
Problem areas such as network reconstruction and analysis, sequence analysis, regulatory analysis and genetic analysis. (washington.edu)

A novel genetic sequencing technology uncovered numerous familial ataxia cases linked to a unique mutation in an old genetic ataxia culprit. (ataxia.org)

An often overlooked problem in building statistical models is that of endogeneity, a term arising from econometric analysis, in which the value of one independent variable is dependent on the value of other predictor variables. (cdc.gov)
By simple manipulation of a powerful model, students experience the power of statistical techniques and learn why scientists require large numbers of individuals to zone in on a possible genomic location. (concord.org)
Prerequisite: graduate standing in biological, computer, mathematical or statistical science, or permission of instructor. (washington.edu)

Hybridization involving genomic mixing induces the formation of new genetic architectures. (nature.com)

Whether students are in class, socially distanced, or at home, Carolina Kits 3D® Flex Biological Evolution Student Unit provides supplies needed for engaged learning, enrichment, and success. (carolina.com)
No biological concept has had greater impact on the way we view ourselves and the world around us than the theory of evolution by natural selection. (mit.edu)

Key to meeting this challenge is bioinformatics - which can be defined as the science of collecting, managing, analyzing, modeling and generating predictions from large amounts of biological data and information. (cdc.gov)
We developed ReporTree, a flexible bioinformatics pipeline that allows diving into the complexity of pathogen diversity to rapidly identify genetic clusters at any (or all) distance threshold(s) or cluster stability regions and to generate surveillance-oriented reports based on the available metadata, such as timespan, geography, or vaccination/clinical status. (cdc.gov)

Our mathematical model is able to explain multiple counterintuitive experimental results and led to several novel findings. (nih.gov)

Researchers will analyze the DNA of tens of thousands of people from five countries in East and South Asia to find genetic markers for the psychiatric condition. (broadinstitute.org)
Now, an interdisciplinary team of biologists and computational researchers from the Technical University of Munich, the Stowers Institute for Medical Research and the Stanford University has shown that applying neural networks, such as those used for facial recognition, together with newly developed model interpretation techniques can be used to decipher complex instructions encoded in DNA. (tum.de)

Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. (geneticlogiclab.org)
The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. (geneticlogiclab.org)
Engineering biological systems involves creating abstractions that can be formalized as domain-specific modeling languages. (unm.edu)
We work on the design and implementation of programming languages for modeling and simulating a range of systems in biomolecular computing and nanotechnology. (unm.edu)
Modelling and analysing the information processing capabilities of simple biological systems. (uni-lj.si)
This workshop aims at collecting scientists working in the area of hybrid modeling applied to systems biology, in order to discuss about current achieved goals, current challenges and future possible developments. (bio.net)
One of the most exciting recent advancements in life science research is the development of 3D cell culture systems, such as organoids, spheroids, or organ-on-a-chip models. (leica-microsystems.com)
Since requires its own model systems, not simply straightforward transcriptional (and posttranscriptional) control involves the adaptations of currently formulated models. (lu.se)
Such systems biology models can, for example, describe how whole populations interact with their environment, how individual cells choose to differentiate into different cell types, or how multicellular systems form patterns and grow new organs in two or three dimensions. (lu.se)

Previous studies in a mouse model lacking Fgf14 showed a loss of Purkinje neurons, the critical motor cell in the cerebellum. (ataxia.org)
Several studies show evidence that the genetic component is determinant to the development of IS. (scielo.br)
Paediatric prospective studies of coeliac disease with longitudinal collection of biological samples and clinical data offer a unique perspective on disease risk. (lu.se)

2. Genetic susceptibility for major depressive disorder associates with trajectories of depressive symptoms across childhood and adolescence. (massgeneral.org)

We demonstrate this methodology on three published models for each of which we derive the genetic interaction networks and analyze their properties. (researchgate.net)
Finally, although genotype by environment interaction in gene expression could potentially disrupt genetic networks, the co-expression networks are highly conserved across environments. (nature.com)
As reported in a Dartmouth news release, the PHPN uses information in human disease networks in conjunction with network science tools to show clusters of related disorders sharing common genetic backgrounds. (scienceblog.com)
It is necessary to develop nonlinear dynamical models that genetic networks. (lu.se)
EURASIP Journal on Applied Signal Processing dynamical modelling of gene networks. (lu.se)

A postdoctoral research position is available in the laboratory of Dr. Kristin Gribble at the Marine Biological Laboratory, Woods Hole, MA. (mbl.edu)
For example, scientists at the Department of Energy's Argonne National Laboratory, working with the Andromeda machine in early stages, cut the time to train a large language model from 4.1 hours to 2.4 hours by doubling the number of machines from two to four. (zdnet.com)

The use of this methodology for validating mathematical models from experimental data and designing new experiments is discussed. (researchgate.net)
It extends (and deviates in parts from) previous work introducing the Calculus of (Non-Temporal) Influence by integrating the ability to model temporal effects in such experiments. (dagstuhl.de)
The key was to perform transcription factor-DNA binding experiments and computational modeling at the highest possible resolution, down to the level of individual DNA bases. (tum.de)
Experiments and models show that rhythm generating neurons and genetically determined network properties could sustain oscillatory output activity suitable for locomotion. (lu.se)

In the spring of 2019, psychologist/behavioral genetic researcher Eric Turkheimer published a review of Blueprint in a peer-reviewed academic journal. (madinamerica.com)
Turkheimer criticized Plomin's triumphalist theme that the polygenic score method provides vindication of the behavioral genetic research program. (madinamerica.com)

More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. (geneticlogiclab.org)
CSE 427: Computational Biology Algorithmic and analytic techniques underlying analysis of large-scale biological data sets such as DNA, RNA, and protein sequences or structures, expression and proteomic profiling. (washington.edu)
More realistic versions of this model and improved estimates of parameters from surveillance data will strengthen the estimation of the burden of influenza. (who.int)
8.3 Model-based evaluation of liver focal lesion data. (who.int)
ReporTree: a surveillance-oriented tool to strengthen the linkage between pathogen genetic clusters and epidemiological data. (cdc.gov)

We argue that our general model represents a powerful tool for the study of a wide range of biological and societal questions. (nature.com)

A key advantage of specifying models in a formal language is that they can then be formally verified using computer-aided reasoning techniques. (unm.edu)
We are also interested in formal verification of the scientific software that forms the basis of biological modeling workflows. (unm.edu)
The end goal is a tool that allows school pupils to formalise hypotheses about phenomena in natural sciences, such that their validity with respect to some formal experiment model can be checked automatically. (dagstuhl.de)

However, current central pattern generator models do not explain how a spinal cord circuitry, which has the same basic genetic plan across species, can adapt to control the different biomechanical properties and locomotion patterns existing in these species. (lu.se)

make predictuions in a real biological problem with hidden Markov model. (classcentral.com)

4. Biological Carcinogenesis: Theories and Models (Sylvia Solakidi, Constantinos E. Vorgias and Constantine E. Sekeris). (who.int)

Our model shows that range fluctuations with lower nutrient availability can be explained both by elevated costs of resistance (a direct effect of nutrient availability), and reduced benefits of resistance when population sizes of hosts and parasites are lower (an indirect effect). (whiterose.ac.uk)
Central for the course is population genetic theory and its applications. (lu.se)

A study of a genetic mouse model of schizophrenia supports two long-debated hypotheses, and unveils additional new clues about the biological roots of the disorder. (broadinstitute.org)
The results of this study clearly show that the presence of bloody diarrhea is an endogenous variable in the model showing predictors of hemolytic uremic syndrome, in that the diarrhea is shown to be predicted by, and therefore strongly correlated with, several other variables used to predict hemolytic uremic syndrome. (cdc.gov)
The underlying problem in the study is the theoretical specifications for the model, in which genotypes, strains, and symptoms are mixed, despite reasonable expectations that differences in 1 level may predict differences in another. (cdc.gov)
Smokers with extreme phenotypes of high and low risk of developing tobacco-associated lung cancer have different genetic profiles, according to a multidisciplinary study conducted by specialists from the Cancer Center at the University of Navarra Clinic (CUN). (cdc.gov)

described a similar loss of FGF14 protein in postmortem SCA27B patient brain tissues and iPSC neuronal cell culture model. (ataxia.org)

CSE 529: Neural Control Of Movement: A Computational Perspe Systematic overview of sensorimotor function on multiple levels of analysis, with emphasis on the phenomenology amenable to computational modeling. (washington.edu)

Dr. Lakin has previously worked on a number of biological modeling languages, including Visual DSD , Genetic Engineering of Cells , and the Stochastic Pi Machine . (unm.edu)
8. Stochastic Carcinogenesis Models (Annette Kopp-Schneider, Iris Burkholder and Jutta Groos). (who.int)
8.2 Stochastic models for hepatocarcinogenesis. (who.int)

Plomin described the polygenic score method as a molecular genetic technique that finds statistically non-significant individual "SNP" hits ( single nucleotide polymorphisms ), and combines them to produce a polygenic (composite) score. (madinamerica.com)
Further molecular genetic and cognitive neuroscience research will likely continue to shape the ASD criteria over time. (medscape.com)
Molecular genetic research indentified a single defect as the basis of Rett's disorder, which then clarified that not all individuals with Rett syndrome have social deficits. (medscape.com)

New DNA analysis techniques in the past decade have fueled an exponential increase in the amount of available biological information. (concord.org)
The five-factor model of personality and borderline personality disorder: A genetic analysis of comorbidity. (bvsalud.org)
He holds an M.S. degree in computer sci- damental discipline that brings to genomics the structural ence from Stevens Institute of Technology model-based analysis and synthesis that form the basis of in 1986 and a Ph.D. degree in mathemat- ics from Rutgers University in 1974. (lu.se)
7.5 credits), or BIOR60 Genetic analysis 2 (7.5 credits). (lu.se)

Chemicals and Drugs1

Analytical, Diagnostic and Therapeutic Techniques and Equipment5

Phenomena and Processes1

Disciplines and Occupations3

Anthropology, Education, Sociology and Social Phenomena1

Information Science4

Mechanisms12

Genes15

Phenotype4

Processes13

Quantitative5

Mutations7

Metabolic3

Behaviors1

Algorithms3

Genetics3

Psychiatry2

Variation3

Cellular2

Methods5

Prediction1

Behavior2

Abstract2

Causal1

Environmental6

Simulation3

Adaptation3

Regulation2

Algorithm2

Analyse1

Organisms2

Incidence1

Characterize1

Risk factors1

Regulatory2

Mutation1

Statistical3

Genomic1

Evolution2

Bioinformatics2

Mathematical model1

Researchers2

Systems9

Studies3

Susceptibility1

Networks5

Laboratory2

Experiments4

Behavioral2

Data5

Societal1

Formal3

Basic genetic1

Markov1

Theories1

Population2

Study4

Tissues1

Amenable1

Stochastic3

Molecular genetic3

Analysis4