| Exploiting drug-disease relationships for computational drug repositioning | 2011/06/20 | English | 308 |
| Deep learning in bioinformatics | 2016/07/29 | English | 303 |
| A survey of current work in biomedical text mining | 2005/01/01 | English | 297 |
| Evaluation of variable selection methods for random forests and omics data sets | 2017/10/16 | English | 290 |
| PHAST and RPHAST: phylogenetic analysis with space/time models | 2010/12/21 | English | 290 |
| The TRANSFAC project as an example of framework technology that supports the analysis of genomic regulation | 2008/03/27 | English | 286 |
| Vector NTI, a balanced all-in-one sequence analysis suite | 2004/01/01 | English | 282 |
| Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks | 2015/06/09 | English | 258 |
| LncTar: a tool for predicting the RNA targets of long noncoding RNAs | 2014/12/17 | English | 258 |
| Toward more realistic drug-target interaction predictions | 2014/04/09 | English | 257 |
| Gene co-expression analysis for functional classification and gene–disease predictions | 2017/01/10 | English | 254 |
| iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data | 2019/04/24 | English | 253 |
| A review of methods and databases for metagenomic classification and assembly | 2017/09/23 | English | 252 |
| Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle? | 2012/07/10 | English | 247 |
| Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases | 2018/07/31 | English | 246 |
| Graph-based methods for analysing networks in cell biology | 2006/05/23 | English | 234 |
| Swiss-Prot: Juggling between evolution and stability | 2004/01/01 | English | 233 |
| Comparison of software packages for detecting differential expression in RNA-seq studies | 2013/12/02 | English | 231 |
| Letter to the Editor: Stability of Random Forest importance measures | 2010/03/31 | English | 230 |
| Flux balance analysis of biological systems: applications and challenges | 2009/03/15 | English | 226 |
| Similarity-based machine learning methods for predicting drug–target interactions: a brief review | 2013/08/10 | English | 225 |
| Current challenges and best-practice protocols for microbiome analysis | 2019/12/18 | English | 222 |
| Sensitivity and specificity of information criteria | 2019/03/20 | English | 221 |
| Metabolomics technology and bioinformatics | 2006/03/07 | English | 220 |
| Gene-set approach for expression pattern analysis | 2008/01/11 | English | 217 |
| Dimension reduction techniques for the integrative analysis of multi-omics data | 2016/03/11 | English | 214 |
| BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches | 2017/12/19 | English | 211 |
| Batch effect removal methods for microarray gene expression data integration: a survey | 2012/07/31 | English | 202 |
| Automated protein function prediction--the genomic challenge | 2006/05/23 | English | 200 |
| Expression profiling of microRNAs by deep sequencing | 2009/03/30 | English | 195 |