Building blocks for automated elucidation of metabolites: Machine learning methods for NMR prediction | BMC Bioinformatics |...
Computer-Assisted Structure Elucidation (CASE) of biological metabolites will be an important tool to leverage this lack of ... Random forest, J48 decision tree and support vector machines achieved similar overall errors. HOSE codes being a notably simple ... applied in the course of this work delivered precise predictions which can serve as a building block for Computer-Assisted ... to construct a collection of decision trees with controlled variations. A training set for a tree is constructed by choosing N ...
Adaptiveness of RGB-image derived algorithms in the measurement of fractional vegetation coverage | BMC Bioinformatics | Full...
Fun02 (decision tree) is more suitable for measuring the FVC on sunny days. However, it considerably underestimates the FVC in ... FVC values obtained using the Photoshop-assisted manual identification method were used as a reference to assess the accuracy ... Under the scenario of the solar forenoon, Fun02 (decision tree) was more accurate than other algorithms, and the MAPE, BIAS, ... is a decision tree that uses color properties to discriminate plants from the background, the third algorithm (Fun03) uses $$ ...
Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer...
Cell size and orientation variations in each stage make detecting mitotic cells difficult in 2D approaches. Therefore, ... In: Medical image computing and computer-assisted intervention, pp. 234-241 (2015). ... The authors proposed using a centre point and most extreme points created by their network to create bounding boxes. ExtremeNet ... 1 convolutions are adopted to preserve and use the low-level features in the final decision. The final combined temporal and ...
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based...
... to learn and identify potential PDAs as a link prediction task on the constructed heterogeneous graph. Comprehensive ... we applied subgraph projection to construct piRNA-piRNA and disease-disease subgraphs for the first time, followed by a ... In: International conference on medical image computing and computer-assisted intervention. Springer; 2015. pp. 3-11. ... Zhou L, Wang Z, Tian X, Peng L. LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for ...
NETTAB 2014: From high-throughput structural bioinformatics to integrative systems biology | BMC Bioinformatics | Full Text
... before the final decision was taken. Associated Editors made the final recommendation for each paper and, at the end of this ... was given by the Cancer Comprehensive Centre and University Hospital San Martino IST of Genoa and by the Department of Computer ... Matrix Assisted Laser Desorption Ionization Time-of-Flight. MBL:. Monoclonal B-cell lymphocytosis ... These issues are very relevant for several research communities which were invited to join forces and create synergies for an ...
Fully automated registration of vibrational microspectroscopic images in histologically stained tissue sections | BMC...
On the one hand, the search space of transformations to be explored is larger than for global registration, thus making ... Szeliski R. Computer Vision: Algorithms and Applications, 1st edn. New York, NY, USA: Springer; 2010. ... Registration of challenging image pairs: initialization, estimation, and decision. IEEE Trans Pattern Anal Mach Intell. 2007; ... Matrix-assisted laser desorption/ionization. MALDI-TOF:. Matrix-assisted laser desorption/ionization-time of flight ...
Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS" | BMC Bioinformatics | Full Text
the predictive model built with DSaaS may serve as a useful support tool for physicians treating hospitalized patients with a ... We used DSaaS on a real antibiotic stewardship dataset to make predictions about antibiotic resistance in the Clinical ... Machine Learning methods such as Catboost, Support Vector Machine and Neural Networks were utilized to build predictive models ... The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant ...
Sparse clusterability: testing for cluster structure in high dimensions | BMC Bioinformatics | Full Text
Clusters were created using the clusterlab R package [7].Footnote 1 Clusterlab generates clusters of a user-provided dimension ... The decision of whether to use the dip test or Silvermans test depends on the scientific importance of small clusters in the ... Table 2 contains the median computer time for each scenario. The Silverman test takes longer to compute than the dip test, as ... ZC and YAC provided the single-cell data and assisted with the interpretation of the single-cell results. NCB conceptualized ...
BMC Bioinformatics | Articles
... with 3.0 Impact Factor and 12 days to first decision. BMC ... ... Recently, significant progress has been made in the field of ... Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing ... Tri-model classifiers for EEG based mental task classification: hybrid optimization assisted framework The commercial adoption ... 12 days submission to first editorial decision for all manuscripts (Median). 135 days submission to accept (Median) ...
Strategies for measuring evolutionary conservation of RNA secondary structures | BMC Bioinformatics | Full Text
Decision about structural conservation is made upon statistical significance of short, contiguous potential base-paired regions ... Zuker M, Stiegler P: Optimal computer folding of large RNA sequences using thermodynamics and auxiliary information. Nucleic ... and more recently to detect mis-aligned sequences and assist in the semi-automatic improvement of RNA alignments [28]. ... As MiGaL makes use also of the nucleotide sequence and not secondary structures alone, we evaluated MiGaL only in pairwise ...