| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature methods 9 (8), 796-804, 2012 | 1805 | 2012 |
| Revealing strengths and weaknesses of methods for gene network inference D Marbach, RJ Prill, T Schaffter, C Mattiussi, D Floreano, G Stolovitzky Proceedings of the national academy of sciences 107 (14), 6286-6291, 2010 | 881 | 2010 |
| A community effort to assess and improve drug sensitivity prediction algorithms JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ... Nature biotechnology 32 (12), 1202-1212, 2014 | 753 | 2014 |
| Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ... Nature methods 10 (3), 228-238, 2013 | 644 | 2013 |
| GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods T Schaffter, D Marbach, D Floreano Bioinformatics 27 (16), 2263-2270, 2011 | 639 | 2011 |
| Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods D Marbach, T Schaffter, C Mattiussi, D Floreano Journal of computational biology 16 (2), 229-239, 2009 | 533 | 2009 |
| Towards a rigorous assessment of systems biology models: the DREAM3 challenges RJ Prill, D Marbach, J Saez-Rodriguez, PK Sorger, LG Alexopoulos, ... PloS one 5 (2), e9202, 2010 | 496 | 2010 |
| TIGRESS: trustful inference of gene regulation using stability selection AC Haury, F Mordelet, P Vera-Licona, JP Vert BMC systems biology 6, 1-17, 2012 | 458 | 2012 |
| Dialogue on reverse‐engineering assessment and methods: the DREAM of high‐throughput pathway inference G Stolovitzky, DON Monroe, A Califano Annals of the New York Academy of Sciences 1115 (1), 1-22, 2007 | 449 | 2007 |
| Evaluation of methods for modeling transcription factor sequence specificity MT Weirauch, A Cote, R Norel, M Annala, Y Zhao, TR Riley, ... Nature biotechnology 31 (2), 126-134, 2013 | 398 | 2013 |
| Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection AD Ewing, KE Houlahan, Y Hu, K Ellrott, C Caloian, TN Yamaguchi, ... Nature methods 12 (7), 623-630, 2015 | 317 | 2015 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 316 | 2020 |
| DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models A Greenfield, A Madar, H Ostrer, R Bonneau PloS one 5 (10), e13397, 2010 | 278 | 2010 |
| Neural granger causality A Tank, I Covert, N Foti, A Shojaie, EB Fox IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4267-4279, 2021 | 275 | 2021 |
| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 273 | 2019 |
| Predicting human olfactory perception from chemical features of odor molecules A Keller, RC Gerkin, Y Guan, A Dhurandhar, G Turu, B Szalai, ... Science 355 (6327), 820-826, 2017 | 272 | 2017 |
| Inferring causal molecular networks: empirical assessment through a community-based effort SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ... Nature methods 13 (4), 310-318, 2016 | 237 | 2016 |
| Lessons from the DREAM2 challenges: a community effort to assess biological network inference G Stolovitzky, RJ Prill, A Califano Annals of the New York Academy of Sciences 1158 (1), 159-195, 2009 | 234 | 2009 |
| Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression R Küffner, N Zach, R Norel, J Hawe, D Schoenfeld, L Wang, G Li, L Fang, ... Nature biotechnology 33 (1), 51-57, 2015 | 209 | 2015 |
| Crowdsourcing biomedical research: leveraging communities as innovation engines J Saez-Rodriguez, JC Costello, SH Friend, MR Kellen, L Mangravite, ... Nature Reviews Genetics 17 (8), 470-486, 2016 | 167 | 2016 |
Daniel MarbachRoche Pharma Research and Early Development, Basel, SwitzerlandVerified email at roche.com
