Works matching IS 14675463 AND DT 2020 AND VI 21 AND IP 5
Results: 28
A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1568, doi. 10.1093/bib/bbz123
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Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1825, doi. 10.1093/bib/bbz120
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Computational identification of mutator-derived lncRNA signatures of genome instability for improving the clinical outcome of cancers: a case study in breast cancer.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1742, doi. 10.1093/bib/bbz118
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FRANC: a unified framework for multi-way local ancestry deconvolution with high density SNP data.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1837, doi. 10.1093/bib/bbz117
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CrossICC: iterative consensus clustering of cross-platform gene expression data without adjusting batch effect.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1818, doi. 10.1093/bib/bbz116
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Optimization of in silico tools for predicting genetic variants: individualizing for genes with molecular sub-regional stratification.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1776, doi. 10.1093/bib/bbz115
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Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1676, doi. 10.1093/bib/bbz112
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DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1733, doi. 10.1093/bib/bbz098
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Genotype imputation and reference panel: a systematic evaluation on haplotype size and diversity.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1806, doi. 10.1093/bib/bbz108
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Critical evaluation of web-based prediction tools for human protein subcellular localization.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1628, doi. 10.1093/bib/bbz106
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Computational/in silico methods in drug target and lead prediction.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1663, doi. 10.1093/bib/bbz103
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Corrigendum to: Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1856, doi. 10.1093/bib/bbz102
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Accuracy of protein-level disorder predictions.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1509, doi. 10.1093/bib/bbz100
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Deep learning based prediction of reversible HAT/HDAC-specific lysine acetylation.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1798, doi. 10.1093/bib/bbz107
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Quantile regression for challenging cases of eQTL mapping.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1756, doi. 10.1093/bib/bbz097
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Evaluation of single-cell classifiers for single-cell RNA sequencing data sets.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1581, doi. 10.1093/bib/bbz096
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Computational approaches to therapeutic antibody design: established methods and emerging trends.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1549, doi. 10.1093/bib/bbz095
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Universal concept signature analysis: genome-wide quantification of new biological and pathological functions of genes and pathways.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1717, doi. 10.1093/bib/bbz093
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Tools for fundamental analysis functions of TCR repertoires: a systematic comparison.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1706, doi. 10.1093/bib/bbz092
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Gene set analysis methods for the functional interpretation of non-mRNA data—Genomic range and ncRNA data.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1495, doi. 10.1093/bib/bbz090
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Network control principles for identifying personalized driver genes in cancer.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1641, doi. 10.1093/bib/bbz089
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ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1846, doi. 10.1093/bib/bbz088
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Deep learning for drug–drug interaction extraction from the literature: a review.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1609, doi. 10.1093/bib/bbz087
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A beginner's guide for FMDV quasispecies analysis: sub-consensus variant detection and haplotype reconstruction using next-generation sequencing.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1766, doi. 10.1093/bib/bbz086
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A comprehensive review and evaluation of computational methods for identifying protein complexes from protein–protein interaction networks.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1531, doi. 10.1093/bib/bbz085
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Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysis.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1523, doi. 10.1093/bib/bbz083
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Predicting bacterial virulence factors – evaluation of machine learning and negative data strategies.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1596, doi. 10.1093/bib/bbz076
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Community curation of bioinformatics software and data resources.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1697, doi. 10.1093/bib/bbz075
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