| Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor M Crow, A Paul, S Ballouz, ZJ Huang, J Gillis Nature communications 9 (1), 1-12, 2018 | 266 | 2018 |
| Guidance for RNA-seq co-expression network construction and analysis: safety in numbers S Ballouz, W Verleyen, J Gillis Bioinformatics 31 (13), 2123-2130, 2015 | 241 | 2015 |
| Is it time to change the reference genome? S Ballouz, A Dobin, JA Gillis Genome biology 20 (1), 1-9, 2019 | 219 | 2019 |
| Predictability of human differential gene expression M Crow, N Lim, S Ballouz, P Pavlidis, J Gillis Proceedings of the National Academy of Sciences 116 (13), 6491-6500, 2019 | 123 | 2019 |
| Bias tradeoffs in the creation and analysis of protein–protein interaction networks J Gillis, S Ballouz, P Pavlidis Journal of proteomics 100, 44-54, 2014 | 81 | 2014 |
| Exploiting single-cell expression to characterize co-expression replicability M Crow, A Paul, S Ballouz, ZJ Huang, J Gillis Genome biology 17 (1), 1-19, 2016 | 80 | 2016 |
| EGAD: ultra-fast functional analysis of gene networks S Ballouz, M Weber, P Pavlidis, J Gillis Bioinformatics 33 (4), 612-614, 2017 | 77 | 2017 |
| Conditions for the evolution of gene clusters in bacterial genomes S Ballouz, AR Francis, R Lan, MM Tanaka PLoS computational biology 6 (2), e1000672, 2010 | 60 | 2010 |
| Using predictive specificity to determine when gene set analysis is biologically meaningful S Ballouz, P Pavlidis, J Gillis Nucleic acids research 45 (4), e20-e20, 2017 | 43 | 2017 |
| CoCoCoNet: conserved and comparative co-expression across a diverse set of species J Lee, M Shah, S Ballouz, M Crow, J Gillis Nucleic acids research 48 (W1), W566-W571, 2020 | 42 | 2020 |
| Novel therapeutics for coronary artery disease from genome-wide association study data MP Grover, S Ballouz, KA Mohanasundaram, RA George, A Goscinski, ... BMC medical genomics 8 (2), 1-11, 2015 | 38 | 2015 |
| Identification of novel therapeutics for complex diseases from genome-wide association data MP Grover, S Ballouz, KA Mohanasundaram, RA George, CD H Sherman, ... BMC medical genomics 7 (1), 1-14, 2014 | 32 | 2014 |
| Co-expression of calcium and hERG potassium channels reduces the incidence of proarrhythmic events S Ballouz, MM Mangala, MD Perry, S Heitmann, JA Gillis, AP Hill, ... Cardiovascular Research 117 (10), 2216-2227, 2021 | 29* | 2021 |
| Web tools for the prioritization of candidate disease genes M Oti, S Ballouz, MA Wouters In silico tools for gene discovery, 189-206, 2011 | 27 | 2011 |
| The fractured landscape of RNA-seq alignment: the default in our STARs S Ballouz, A Dobin, TR Gingeras, J Gillis Nucleic acids research 46 (10), 5125-5138, 2018 | 25 | 2018 |
| Measuring the wisdom of the crowds in network-based gene function inference W Verleyen, S Ballouz, J Gillis Bioinformatics 31 (5), 745-752, 2015 | 25 | 2015 |
| Ligand similarity complements sequence, physical interaction, and co-expression for gene function prediction MJ O’Meara, S Ballouz, BK Shoichet, J Gillis PloS one 11 (7), e0160098, 2016 | 23 | 2016 |
| Variability of cross-tissue X-chromosome inactivation characterizes timing of human embryonic lineage specification events JM Werner, S Ballouz, J Hover, J Gillis Developmental Cell, 2022 | 22 | 2022 |
| Analytical guidelines for co-fractionation mass spectrometry obtained through global profiling of gold standard Saccharomyces cerevisiae protein complexes CNI Pang, S Ballouz, D Weissberger, LM Thibaut, JJ Hamey, J Gillis, ... Molecular & Cellular Proteomics 19 (11), 1876-1895, 2020 | 19 | 2020 |
| Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies ET Teber, JY Liu, S Ballouz, D Fatkin, MA Wouters BMC bioinformatics 10 (1), S69, 2009 | 19 | 2009 |
Jesse GillisAssociate Professor of Integrative Physiology, University of TorontoПодтвержден адрес электронной почты в домене utoronto.ca
