Published in Nat Rev Genet on May 07, 2015
Deep biomarkers of human aging: Application of deep neural networks to biomarker development. Aging (Albany NY) (2016) 1.06
DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo. Cell Syst (2016) 0.88
Deep learning for computational biology. Mol Syst Biol (2016) 0.88
Phenotyping: Using Machine Learning for Improved Pairwise Genotype Classification Based on Root Traits. Front Plant Sci (2016) 0.84
Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics. PLoS Comput Biol (2016) 0.83
Antimicrobial Resistance Prediction in PATRIC and RAST. Sci Rep (2016) 0.81
A new genome-mining tool redefines the lasso peptide biosynthetic landscape. Nat Chem Biol (2017) 0.79
Machine learning, statistical learning and the future of biological research in psychiatry. Psychol Med (2016) 0.79
Machine learning and computer vision approaches for phenotypic profiling. J Cell Biol (2016) 0.79
Reproducible quantitative proteotype data matrices for systems biology. Mol Biol Cell (2015) 0.78
Open Source Bayesian Models. 3. Composite Models for Prediction of Binned Responses. J Chem Inf Model (2016) 0.78
GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data. BMC Bioinformatics (2016) 0.78
Crop improvement using life cycle datasets acquired under field conditions. Front Plant Sci (2015) 0.78
Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis. Sci Rep (2016) 0.77
Transcriptome Profiling of Antimicrobial Resistance in Pseudomonas aeruginosa. Antimicrob Agents Chemother (2016) 0.76
Genome-enabled prediction using probabilistic neural network classifiers. BMC Genomics (2016) 0.75
Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB). Drug Discov Today (2016) 0.75
In-silico modeling of granulomatous diseases. Curr Opin Pulm Med (2016) 0.75
Improving scoring-docking-screening powers of protein-ligand scoring functions using random forest. J Comput Chem (2016) 0.75
Multiparametric MRI-based differentiation of WHO grade II/III glioma and WHO grade IV glioblastoma. Sci Rep (2016) 0.75
ML2Motif-Reliable extraction of discriminative sequence motifs from learning machines. PLoS One (2017) 0.75
Systematic evaluation of supervised classifiers for fecal microbiota-based prediction of colorectal cancer. Oncotarget (2017) 0.75
Towards an integrated food safety surveillance system: a simulation study to explore the potential of combining genomic and epidemiological metadata. R Soc Open Sci (2017) 0.75
Physico-chemical fingerprinting of RNA genes. Nucleic Acids Res (2016) 0.75
Use of big data in drug development for precision medicine. Expert Rev Precis Med Drug Dev (2016) 0.75
A machine learning approach for viral genome classification. BMC Bioinformatics (2017) 0.75
The association of variants in PNPLA3 and GRP78 and the risk of developing hepatocellular carcinoma in an Italian population. Oncotarget (2016) 0.75
FFPred 3: feature-based function prediction for all Gene Ontology domains. Sci Rep (2016) 0.75
A Meta-Analysis Based Method for Prioritizing Candidate Genes Involved in a Pre-specific Function. Front Plant Sci (2016) 0.75
Reflections on the Field of Human Genetics: A Call for Increased Disease Genetics Theory. Front Genet (2016) 0.75
Neuroblastoma, a Paradigm for Big Data Science in Pediatric Oncology. Int J Mol Sci (2016) 0.75
Machine Learning-Assisted Network Inference Approach to Identify a New Class of Genes that Coordinate the Functionality of Cancer Networks. Sci Rep (2017) 0.75
Application of unsupervised analysis techniques to lung cancer patient data. PLoS One (2017) 0.75
Regulatory element-based prediction identifies new susceptibility regulatory variants for osteoporosis. Hum Genet (2017) 0.75
Discovery of novel therapeutic properties of drugs from transcriptional responses based on multi-label classification. Sci Rep (2017) 0.75
A link prediction approach to cancer drug sensitivity prediction. BMC Syst Biol (2017) 0.75
Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet (2000) 336.52
An integrated encyclopedia of DNA elements in the human genome. Nature (2012) 64.73
Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. Nat Genet (2007) 32.41
Pfam: a comprehensive database of protein domain families based on seed alignments. Proteins (1997) 26.91
The InterPro database, an integrated documentation resource for protein families, domains and functional sites. Nucleic Acids Res (2001) 24.45
Missing value estimation methods for DNA microarrays. Bioinformatics (2001) 20.84
Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull (1968) 20.58
Multiclass cancer diagnosis using tumor gene expression signatures. Proc Natl Acad Sci U S A (2001) 19.30
Using Bayesian networks to analyze expression data. J Comput Biol (2000) 15.98
A genomic code for nucleosome positioning. Nature (2006) 15.38
A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet (2014) 14.56
Inferring cellular networks using probabilistic graphical models. Science (2004) 9.91
Weight matrix descriptions of four eukaryotic RNA polymerase II promoter elements derived from 502 unrelated promoter sequences. J Mol Biol (1990) 8.75
Predicting gene expression from sequence. Cell (2004) 8.12
ChromHMM: automating chromatin-state discovery and characterization. Nat Methods (2012) 7.66
A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae). Proc Natl Acad Sci U S A (2003) 6.19
Computational analysis of core promoters in the Drosophila genome. Genome Biol (2002) 5.60
Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data. Genome Res (2010) 5.40
What is a support vector machine? Nat Biotechnol (2006) 5.10
The spectrum kernel: a string kernel for SVM protein classification. Pac Symp Biocomput (2002) 4.90
Unsupervised pattern discovery in human chromatin structure through genomic segmentation. Nat Methods (2012) 4.89
A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. Genome Biol (2008) 4.78
Histone modification levels are predictive for gene expression. Proc Natl Acad Sci U S A (2010) 4.00
A statistical framework for genomic data fusion. Bioinformatics (2004) 3.64
Classification of human genomic regions based on experimentally determined binding sites of more than 100 transcription-related factors. Genome Biol (2012) 3.61
DNase-seq: a high-resolution technique for mapping active gene regulatory elements across the genome from mammalian cells. Cold Spring Harb Protoc (2010) 3.54
Unsupervised segmentation of continuous genomic data. Bioinformatics (2007) 3.35
ChIP-Seq of transcription factors predicts absolute and differential gene expression in embryonic stem cells. Proc Natl Acad Sci U S A (2009) 2.96
Learning gene functional classifications from multiple data types. J Comput Biol (2002) 2.65
Engineering support vector machine kernels that recognize translation initiation sites. Bioinformatics (2000) 2.29
A probabilistic view of gene function. Nat Genet (2004) 1.99
An ensemble model of competitive multi-factor binding of the genome. Genome Res (2009) 1.60
Epigenetic priors for identifying active transcription factor binding sites. Bioinformatics (2011) 1.47
Predicting co-complexed protein pairs from heterogeneous data. PLoS Comput Biol (2008) 1.44
An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems. IEEE Comput Intell Mag (2012) 1.07
Feature subset selection for splice site prediction. Bioinformatics (2002) 1.04
Machine learning approaches for the discovery of gene-gene interactions in disease data. Brief Bioinform (2012) 1.03
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS One (2012) 1.00
Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology. OMICS (2013) 1.00
Computational methods for ab initio and comparative gene finding. Methods Mol Biol (2010) 0.96
Optimizing amino acid substitution matrices with a local alignment kernel. BMC Bioinformatics (2006) 0.94
Probabilistic models and machine learning in structural bioinformatics. Stat Methods Med Res (2009) 0.93
Machine learning and genome annotation: a match meant to be? Genome Biol (2013) 0.86
Illuminating eukaryotic transcription start sites. Nat Methods (2010) 0.79