Prediction of biological. Medical search. Frequent questions

It is an open question to what extent the use of such biological knowledge is beneficial for improving genomic prediction accuracy and reliability. (figshare.com)
In this study, we explored the use of publicly available biological information for genomic prediction of photosynthetic light use efficiency (Φ PSII ) and projected leaf area (PLA) in Arabidopsis thaliana. (figshare.com)
Our results suggest that incorporation of prior biological knowledge can improve genomic prediction accuracy for both Φ PSII and PLA. (figshare.com)
In conclusion, prior knowledge about trait-specific groups of genes can be directly translated into improved genomic prediction. (figshare.com)

The diverse genome-wide datasets allow researchers to improve cancer subtype prediction comprehensively using computational techniques. (biomedcentral.com)
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)
These computational methods are mainly composed of two phases, representation phase and prediction phase. (biomedcentral.com)
Recent work in cognitive and computational neuroscience depicts human brains as devices that minimize prediction error signals: signals that encode the difference between actual and expected sensory stimulations. (springer.com)
The computational basis of perception, cognition, and action (if this ambitious story is on track) involves only three 'basic elements' - predictions (flowing from a long-term multi-level 'generative model'), prediction error signals (calculated relative to active predictions), and the estimated, context-varying 'precision' of those prediction error signals. (springer.com)
To fully utilize the advances in omics technologies to achieve a more comprehensive understanding of the biological processes underlying human diseases, researchers have developed and tested MOGONET, a novel multi-omics data analysis algorithm and computational methodology. (sciencedaily.com)

Capitalizing on the growing availability of genomics data, genome-wide marker-based prediction models allow for efficient selection of the best parents for the next generation without the need for phenotypic information. (figshare.com)
Insights into biological pathways involved in CVD gained through genome-wide and functional genomics approaches are leading to the identification of new potential therapeutic targets. (cdc.gov)

The yeast GO Slim terms are higher level terms that best represent the major S. cerevisiae biological processes, functions, and cellular components. (yeastgenome.org)
Signaling at and between allosteric sites in proteins regulate many biological processes. (sciencedaily.com)
Ohm may be useful for biomedical researchers seeking to identify allosteric sites in proteins that play key roles in biological processes of certain diseases. (sciencedaily.com)
Integrating data from various omics provides a more holistic view of biological processes underlying human diseases. (sciencedaily.com)
Many biological processes are controlled by large multi-component protein assemblies, the size and complexity of which typically precludes the determination of their high-resolution structures. (lu.se)

We investigated neural mechanisms of decision making in OCD patients, including early and late onset of disorder, in terms of reward prediction errors (RPEs) using functional magnetic resonance imaging. (cambridge.org)
With MOGONET, our new AI [artificial intelligence] tool, we employ machine learning based on a neural network, to capture complex biological process relationships. (sciencedaily.com)
Abstract: The primary goal of this research project was to demonstrate the feasibility of developing an optimal prediction model for noise -induced hearing loss (NIHL) using a radial basis function neural network (RBFNN). (cdc.gov)

Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence-that is, the prediction of its secondary and tertiary structure from primary structure. (wikipedia.org)
Structure prediction is different from the inverse problem of protein design. (wikipedia.org)
Starting in 1994, the performance of current methods is assessed biannually in the CASP experiment (Critical Assessment of Techniques for Protein Structure Prediction). (wikipedia.org)
A continuous evaluation of protein structure prediction web servers is performed by the community project CAMEO3D. (wikipedia.org)
Combining amino acid sequence information and position information makes a stronger representation for protein, which improves the accuracy of PPIs prediction. (biomedcentral.com)
In previous research methods, most of them only used protein amino acid sequence as input information to make predictions, without considering the structural information of PPIs networks graph. (biomedcentral.com)
Researchers are collecting biological samples that include serum from volunteer and career (federal and non-federal) firefighters, as well as from numerous communities across the nation-serum is a protein-rich liquid that can be separated from other components of the blood. (cdc.gov)
Our goal is to use high-resolution structural modeling techniques guided by constraints taken from lower resolution experimental data to generate structural models of important biological protein assemblies for which high resolution structural determination is unfeasible. (lu.se)

Department of Biological Sciences. (bvsalud.org)

We have deployed a host of machine learning algorithms, including the popular state-of-the-art LightGBM (a gradient boosting model), for building prediction models. (lu.se)

The results show the spread of predictions given by the models in short, medium and long-term periods. (witpress.com)
Cybersecurity Weekly: Framing security with leadership, ransomware advisories continue and biological models for cybersecurity predictions. (infosecinstitute.com)
Until now such models mostly predict the phenotype directly from the genotype and fail to make use of relevant biological knowledge. (figshare.com)
Secondly, such an approach provides an ultimate test bed for the up‐to‐date MD simulation models employed in the studies of biological membranes, an area that currently attracts great attention. (uea.ac.uk)
Proportional hazards models estimated the hazard ratio of hospitalised infections, comparing each biological agent with infliximab. (bmj.com)
Both noise metrics and biological parameters were used as input variables to the prediction models. (cdc.gov)
Since the prediction models consist of individual biological information, it should be possible to predict noise -induced hearing loss in an individual. (cdc.gov)
Two frequency specific prediction models were considered: One was a specific frequency model (SF model), the other was a wide band frequency model (WF model). (cdc.gov)
In the WF prediction model contiguous frequency band information on either upper or lower side(s) of a specified frequency band were considered as additional input(s) for the models. (cdc.gov)
Two partition methods were used to stratify the data sets for training, validating and testing the prediction models. (cdc.gov)
The prediction models using partition 1 and 2 were built and tested. (cdc.gov)
It was found that the prediction models using the WF method would yield the best average prediction accuracy. (cdc.gov)
Abstract This study aimed to develop and evaluate data driven models for prediction of forest yield under different climate change scenarios in the Gallies forest division of district Abbottabad, Pakistan . (bvsalud.org)
Prediction accuracy of both the models were assessed by means of root mean squared error (RMSE), mean absolute error (MAE), correlation coefficient (r), relative root mean squared error (RRMSE), Legates-McCabe's (LM), Willmott's index (WI) and Nash-Sutcliffe (NSE) metrics . (bvsalud.org)
Results of search for 'su:{Models, Biological. (who.int)
The general aim of the course is to enable students to understand the aims, theories, models and methodologies of contemporary evolutionary biology, and how these are applied to different biological systems. (lu.se)
The course makes use of a wide range of examples to illustrate how different biological systems, models, methods, and types of data can reveal how evolution works. (lu.se)

For long term complex noise exposures 10 noise metrics and 5 biological parameters were used as the inputs of the prediction model in the initial stage of the research project. (cdc.gov)
For impulse noise exposures parameters, such as peak, duration, number and rate, are important to the prediction of NIHL. (cdc.gov)
Wider application of genetic testing, combined with careful assessment of environmental exposures, will lead to increased identification of those at risk, greatly improved risk prediction, and targeted preventive interventions. (cdc.gov)

The clinical prediction model of Swensen et al was proven to have external validity. (nih.gov)
As researchers in psychiatry, in the Canadian Biomarker Integration Network for Depression, we are collecting clinical and biological data during treatment interventions for people with major depression. (utoronto.ca)
Promising applications include suicide risk prediction and clinical management. (utoronto.ca)
Our data have provided evidence for a comparable prediction of clinical outcome in CMF-treated breast cancer patients using conventional clinical variables and gene expression based markers. (lu.se)

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. (llrx.com)
As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. (llrx.com)
The BioVis aims to educate, inspire, and engage bioinformatics and biology researchers in state-of-the-art visualization research and visualization researchers in problems in biological data visualization. (iscb.org)
9th International Conference on Bioinformatics & Biosciences (BIOS 2023) is a forum for presenting new advances and research results in the field of biology to increase the understanding of all biological process. (ourglocal.com)

One of the approaches is prediction of biological activity spectra for substances (PASS) and the second is prediction of toxicity, mutagenicity, and carcinogenicity (DEREK). (scipeople.ru)
Here, we report the first prediction of variable temperature EPR spectra of model lipid bilayers in the presence and absence of cholesterol from the results of large scale fully atomistic molecular dynamics (MD) simulations. (uea.ac.uk)
Firstly, prediction of EPR line shapes directly from MD trajectories of actual phospholipid structures allows unambiguous interpretation of EPR spectra of biological membranes in terms of complex motions. (uea.ac.uk)

Submissions are encouraged to report on advances in algorithm development and optimization , data structures , data visualization, artificial intelligence/machine learning , text mining , statistical inference, database and ontology development , image analysis , citizen and open science, etc . to analyze all types of biological data. (iscb.org)

Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas. (cosmolearning.org)

Experimentally characterized genetic interaction networks in model organisms provide important insights into relationships between different biological functions. (researchgate.net)
DNA carries the genetic code of life, with different conformations associated with different biological functions. (lu.se)
Other researchers are looking at changes in epigenetics (how PFAS affect biological functions). (cdc.gov)

On the basis of the PASS and DEREK prediction results, eight compounds with the highest probability of cognition-enhancing effect were selected. (scipeople.ru)
Therefore, on the basis of computer prediction, new cognition-enhancing agents were discovered within the chemical series, in which this activity was not known previously. (scipeople.ru)

These are prediction machines equipped with multiple ecologically sound routes to effective adaptive response, forever in the business of predicting their own unfolding sensory arrays. (frontiersin.org)

In addition, different data-views may have different contributions in data integration for cancer subtype prediction. (biomedcentral.com)
In this paper, we propose a method, CSPRV, to improve the cancer subtype prediction by incorporating multi-sources transcriptome expression data and heterogeneous biological networks. (biomedcentral.com)
We extract multiple expression features of each genome element based on the regulatory associations in the heterogeneous biological networks and use a generalized matrix correlation method ( RV 2 ) to predict the similarities between samples in each view of expression data. (biomedcentral.com)
The consideration of regulatory associations between biological features and data-views contribution is important to improve the understanding of cancer subtypes. (biomedcentral.com)
The proposed method provides an open framework to incorporate transcriptome expression data and biological regulation network to predict cancer subtypes. (biomedcentral.com)
CNMF is a modified non-negative matrix factorization method that identifies biological subtype patterns in multi-sources data by using non-negative matrix factorization approach. (biomedcentral.com)
In recent years, high-throughput biological techniques and large-scale experimental approaches for PPIs identification have achieved tremendous development, lots of PPIs data from different organisms has been discovered by researchers [ 2 ]. (biomedcentral.com)
9 Few other data exist with which to compare the anti-TNF biological agents with newer agents including abatacept and rituximab. (bmj.com)
Our detailed model-building strategy and robust statistical validation protocols tackle the formidable challenge of working on small datasets, which is often the case in biological and medical data. (lu.se)
In this study, the model describes the relation- tial parameter estimates for this model were based ship between the respirable particles in the air a worker on both human and animal data of particle deposi- breathes and the retained mass of particles in the lungs tion and clearance and on the biological and physi- and lung-associated (hilar) lymph nodes. (cdc.gov)
Previous work in this area has been on modeling the assembly structure of the type III secretion system and prediction of the high-resolution structures of homo-oligomeric proteins using limited experimental data from Nuclear Magnetic Resonance (NMR) in order to speed up the process of structure determination. (lu.se)

Ultimately, it examines how an evolutionary perspective can be applied to phenomena at all levels of biological organisation, from molecules to ecosystems. (lu.se)

The human brain, PP here suggests, commands a rich, integrated model of the worldly sources of sensory inputs, and uses that long-term model to generate on-the-spot predictions about the probable shape and character of current inputs. (springer.com)

Precision estimates the inverse variance of a prediction error signal - in other words, it sets error bars around an error signal according to its currently estimated importance or reliability. (springer.com)

Agricultural researchers and agroeconomists are always on the hunt for new mathematical strategies that might increase prediction accuracy while still making use of existing factors. (hindawi.com)

The estimated difference of 0.095 (95% CI, -0.003 to 0.193) between the PET scan results classified using the 4-point intensity scale reading and the area under the curve (AUC) from the Swensen prediction was not significant (p = 0.058). (nih.gov)
Results Among 7847 biological treatment episodes, 63% were for biological-free patients and 37% for switchers. (bmj.com)
Four prediction results at specific center frequencies were produced, i.e. noise -induced permanent threshold shift (PTS), inner hair cell (IHC) loss , outer hair cell (OHC) loss , and permanent change in cubic distortion product otoacoustic emission (DeltaDPOAE). (cdc.gov)
It was also found that some biological parameters, such as asymptotic threshold shift and pre-exposure DPOAE did not contribute much to increasing the prediction accuracy (in many cases these variables made the prediction results worse). (cdc.gov)

The brain thus uses the prediction task to bootstrap its way to the structured world-knowledge that is later used to generate better (and better) predictions. (springer.com)

Reference via Wikipedia ] Biological Informatics 2020 is a comprehensive listing of biological informatics resources currently available on the Internet. (llrx.com)

Calculation-based methods can solve the problem to a certain extent, and provide reference and guidance for the biological experiment design, which are helpful for laboratory validation. (biomedcentral.com)

Prof. Christopher Burge begins with an introduction and biological examples of RNA structure. (cosmolearning.org)
Prediction-driven learning, when implemented using hierarchical (hence multi-level) machinery automatically uncovers structure at multiple scales of space and time. (springer.com)
It is impossible to fully understand biological systems without understanding the 3D structure of their constituting parts and their interactions. (iscb.org)

Sophisticated malware attacks underscore the need for a more dynamic security framework, inspired by biological concepts. (infosecinstitute.com)
In this study, a machine learning framework for agricultural yield prediction is presented. (hindawi.com)

It also provides a biological and empirical basis for determin- ing equivalent doses across species, which should im- prove the accuracy of estimating dose and disease risk in humans. (cdc.gov)

Title : Strengthening the reporting of Genetic Risk Prediction Studies: The GRIPS Statement Corporate Authors(s) : Centers for Disease Control and Prevention (U.S.). Office of Public Health Genomics. (cdc.gov)

And in the prediction phase, they use traditional machine learning techniques or deep learning to make predictions based on the representation generated in the previous phase. (biomedcentral.com)

Patient risk factors contributed more to the risk of infection than did the risk associated with specific biological therapies. (bmj.com)
Appropriately powered randomised studies directly comparing biological agents are lacking, but for the average patient, the tumour necrosis factor alpha antagonist (anti-TNF) agents are thought to have efficacy that is relatively comparable to one another and perhaps to other biological therapies with different mechanisms of action. (bmj.com)
One potentially confounding factor is that most patients receive these biological agents with non-tumour necrosis factor alpha mechanisms of action only after failing one or more anti-TNF therapies, consistent with some national guidelines. (bmj.com)

1 , - , 4 Given efficacy that many consider relatively comparable, other considerations such as safety may be important in choosing among the biological agents for an individual patient. (bmj.com)

Most of the variability in patients' risk of infection was driven by factors other than biological agent exposure. (bmj.com)
The future of zoonotic risk prediction. (cdc.gov)

The study strongly recommends that RF model should be applied in other regions of the country for prediction of forest growth and yield, which may help in the management and future planning of forest productivity in Pakistan . (bvsalud.org)

These reports are based on the Apple Maturity Model on the Enviroweather website , which can be consulted for predictions for all Michigan State University Enviroweather stations for locations not covered by these five reports. (msu.edu)
To obtain an external validation of the prediction model according to Swensen and colleagues, and to quantify the potential added value of FDG-PET scanning as a function of its operating characteristics in relation to this prediction model, in a population of patients with radiologically indeterminate pulmonary nodules. (nih.gov)
Another major shortfall of the original treatment was my failure to address the relations between rich, model-based prediction, and the superficially messy multitude of other elements underpinning cognitive and adaptive success. (frontiersin.org)
In the SF model a prediction model was built for each specified frequency. (cdc.gov)
The RBF model with the SF method was selected as the best prediction model. (cdc.gov)

it also includes an introduction to the analysis of complex biological systems. (cosmolearning.org)
Prediction of growth-related complex traits is highly important for crop breeding. (figshare.com)
Computer modeling of complex biological systems / editor, S. Sitharama Iyengar. (who.int)

It is important to recognize that because of the biological activity of these contaminants, dose-response relationships obtained using technical grade methoxychlor may not be directly applicable to pure methoxychlor. (cdc.gov)

That solution requires us to go beyond the discussion of simple information-theoretic imperatives (such as 'minimize long-term prediction error') and to recognize the essential role of species-specific prestructuring, epistemic foraging, and cultural practices in shaping the restless, curious, novelty-seeking human mind. (springer.com)

In addition to large agricultural companies and smallholders, agricultural enterprises and smallholders profit from such predictions since they are able to make educated decisions about the management and financing of their crops [ 2 ]. (hindawi.com)

Here, the canny manipulation of precision-weighted prediction error may play a large role. (frontiersin.org)
Conversely, even a large prediction error signal, if it is assigned extremely low precision, may be rendered systemically impotent, unable to drive learning or further processing. (springer.com)

GO Annotations consist of four mandatory components: a gene product, a term from one of the three Gene Ontology (GO) controlled vocabularies (Molecular Function, Biological Process, and Cellular Component), a reference, and an evidence code. (yeastgenome.org)
Manually curated GO annotations reflect our best understanding of the basic molecular function , biological process , and cellular component for this gene product. (yeastgenome.org)

Prediction of bone loss with biochemical bone markers. (medscape.com)

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)

The knowledge of biogenic elements dynamic, the biological response and the election of indicators connecting low and higher trophic levels have became a real need for a sustainable management of the marine resource in coastal zone. (witpress.com)
Higher levels, in a language processing task, might thus specialize in predictions that involve word-level knowledge, while lower ones would specialize in predictions that involve letter-level knowledge, still lower ones in predictions that turn on stroke-level knowledge, and so on. (springer.com)

Anatomy5

Organisms7

Diseases5

Chemicals and Drugs31

Analytical, Diagnostic and Therapeutic Techniques and Equipment77

Phenomena and Processes97

Disciplines and Occupations17

Anthropology, Education, Sociology and Social Phenomena3

Technology, Industry, Agriculture3

Humanities1

Information Science34

Health Care46

Genomic4

Computational6

Genome-wide2

Processes5

Neural3

Protein8

Department of Biological Sciences1

Algorithms1

Models17

Exposures3

Clinical4

Bioinformatics4

Spectra3

Inference1

Structural1

Functions3

Cognition2

Predicting1

Data11

Ecosystems1

Inputs1

Inverse1

Researchers1

Results4

Generate1

20201

Methods1

Structure3

Framework2

Accuracy1

Genetic1

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Comparable1

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Model5

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