| Transcriptional regulatory networks in Saccharomyces cerevisiae TI Lee, NJ Rinaldi, F Robert, DT Odom, Z Bar-Joseph, GK Gerber, ... science 298 (5594), 799-804, 2002 | 3905 | 2002 |
| The magazine archive includes every article published in Communications of the ACM for over the past 50 years. M Marathe, AKS Vullikanti Communications of the ACM 56 (7), 88-96, 0 | 2824* | |
| STEM: a tool for the analysis of short time series gene expression data J Ernst, Z Bar-Joseph BMC bioinformatics 7 (1), 1, 2006 | 1561 | 2006 |
| The sirtuin SIRT6 regulates lifespan in male mice Y Kanfi, S Naiman, G Amir, V Peshti, G Zinman, L Nahum, Z Bar-Joseph, ... Nature 483 (7388), 218-221, 2012 | 1223 | 2012 |
| Computational discovery of gene modules and regulatory networks Z Bar-Joseph, GK Gerber, TI Lee, NJ Rinaldi, JY Yoo, F Robert, ... Nature biotechnology 21 (11), 1337-1342, 2003 | 804 | 2003 |
| Fast optimal leaf ordering for hierarchical clustering Z Bar-Joseph, DK Gifford, TS Jaakkola Bioinformatics 17 (suppl 1), S22-S29, 2001 | 635 | 2001 |
| Analyzing time series gene expression data Z Bar-Joseph Bioinformatics 20 (16), 2493-2503, 2004 | 615 | 2004 |
| Clustering short time series gene expression data J Ernst, GJ Nau, Z Bar-Joseph Bioinformatics 21 (suppl 1), i159-i168, 2005 | 581 | 2005 |
| Studying and modelling dynamic biological processes using time-series gene expression data Z Bar-Joseph, A Gitter, I Simon Nature Reviews Genetics 13 (8), 552-564, 2012 | 570 | 2012 |
| Evaluation of different biological data and computational classification methods for use in protein interaction prediction Y Qi, Z Bar‐Joseph, J Klein‐Seetharaman Proteins: Structure, Function, and Bioinformatics 63 (3), 490-500, 2006 | 501 | 2006 |
| A transcription factor hierarchy defines an environmental stress response network L Song, SC Huang, A Wise, R Castanon, JR Nery, H Chen, M Watanabe, ... Science 354 (6312), aag1550, 2016 | 461 | 2016 |
| The human body at cellular resolution: the NIH Human Biomolecular Atlas Program PMRC M.P. Snyder, S. Lin, A. Posgai, M. Atkinson, R. Satija, N. Gehlenborg ... Nature 574, 187-192, 2019 | 444* | 2019 |
| Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity QK Beg, A Vazquez, J Ernst, MA de Menezes, Z Bar-Joseph, AL Barabási, ... Proceedings of the National Academy of Sciences 104 (31), 12663-12668, 2007 | 438 | 2007 |
| Temporal transcriptional response to ethylene gas drives growth hormone cross-regulation in Arabidopsis KN Chang, S Zhong, MT Weirauch, G Hon, M Pelizzola, H Li, SC Huang, ... Elife 2, e00675, 2013 | 421 | 2013 |
| Continuous representations of time-series gene expression data Z Bar-Joseph, GK Gerber, DK Gifford, TS Jaakkola, I Simon Journal of Computational Biology 10 (3-4), 341-356, 2003 | 358 | 2003 |
| Texture mixing and texture movie synthesis using statistical learning Z Bar-Joseph, R El-Yaniv, D Lischinski, M Werman IEEE Transactions on visualization and computer graphics 7 (2), 120-135, 2001 | 343 | 2001 |
| A critical assessment of Mus musculus gene function prediction using integrated genomic evidence L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ... Genome biology 9 (1), 1, 2008 | 298 | 2008 |
| A new approach to analyzing gene expression time series data Z Bar-Joseph, G Gerber, DK Gifford, TS Jaakkola, I Simon Proceedings of the sixth annual international conference on Computational …, 2002 | 288 | 2002 |
| Random forest similarity for protein-protein interaction prediction from multiple sources. Y Qi, J Klein-Seetharaman, Z Bar-Joseph Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 531-542, 2004 | 262 | 2004 |
| Future directions in idiopathic pulmonary fibrosis research. An NHLBI workshop report TS Blackwell, AM Tager, Z Borok, BB Moore, DA Schwartz, KJ Anstrom, ... American journal of respiratory and critical care medicine 189 (2), 214-222, 2014 | 255 | 2014 |
