| An integrated encyclopedia of DNA elements in the human genome ENCODE Project Consortium Nature 489 (7414), 57, 2012 | 17485 | 2012 |
| Machine learning applications in genetics and genomics MW Libbrecht, WS Noble Nature Reviews Genetics, 2015 | 2149 | 2015 |
| A user’s guide to the encyclopedia of DNA elements (ENCODE) ENCODE Project Consortium PLoS Biol 9 (4), e1001046, 2011 | 878 | 2011 |
| A user's guide to the encyclopedia of DNA elements (ENCODE) RM Myers, J Stamatoyannopoulos, M Snyder, I Dunham, RC Hardison, ... PLoS biology 9 (4), 2011 | 688 | 2011 |
| Integrative annotation of chromatin elements from ENCODE data MM Hoffman, J Ernst, SP Wilder, A Kundaje, RS Harris, M Libbrecht, ... Nucleic acids research 41 (2), 827-841, 2013 | 626 | 2013 |
| Comparative analysis of metazoan chromatin organization JWK Ho, YL Jung, T Liu, BH Alver, S Lee, K Ikegami, KA Sohn, A Minoda, ... Nature 512 (7515), 449-452, 2014 | 430 | 2014 |
| Obtaining genetics insights from deep learning via explainable artificial intelligence G Novakovsky, N Dexter, MW Libbrecht, WW Wasserman, S Mostafavi Nature Reviews Genetics 24 (2), 125-137, 2023 | 256 | 2023 |
| Ubiquitous heterogeneity and asymmetry of the chromatin environment at regulatory elements A Kundaje, S Kyriazopoulou-Panagiotopoulou, M Libbrecht, CL Smith, ... Genome research 22 (9), 1735-1747, 2012 | 212 | 2012 |
| Joint annotation of chromatin state and chromatin conformation reveals relationships among domain types and identifies domains of cell-type-specific expression MW Libbrecht, F Ay, MM Hoffman, DM Gilbert, JA Bilmes, WS Noble Genome Research 25, 544-557, 2015 | 87 | 2015 |
| PREDICTD parallel epigenomics data imputation with cloud-based tensor decomposition TJ Durham, MW Libbrecht, JJ Howbert, J Bilmes, WS Noble Nature communications 9 (1), 1402, 2018 | 80 | 2018 |
| A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types MW Libbrecht, OL Rodriguez, Z Weng, JA Bilmes, MM Hoffman, ... Genome biology 20, 1-14, 2019 | 62 | 2019 |
| Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecture J Schreiber, M Libbrecht, J Bilmes, WS Noble BioRxiv, 103614, 2017 | 62 | 2017 |
| Distinct epigenetic features of differentiation-regulated replication origins OK Smith, RG Kim, H Fu, MM Martin, CM Lin, K Utani, Y Zhang, AB Marks, ... Epigenetics & chromatin 9, 1-17, 2016 | 55 | 2016 |
| Segway 2.0: Gaussian mixture models and minibatch training RCW Chan, MW Libbrecht, EG Roberts, JA Bilmes, WS Noble, ... Bioinformatics 34 (4), 669-671, 2018 | 49 | 2018 |
| Interferometric measurement of the resonant absorption and refractive index in rubidium gas KG Libbrecht, MW Libbrecht American journal of physics 74 (12), 1055-1060, 2006 | 33 | 2006 |
| Perspectives on ENCODE F Abascal, R Acosta, NJ Addleman, J Adrian, V Afzal, B Aken, JA Akiyama Nature 583 (7818), 693-699, 2020 | 28 | 2020 |
| Segmentation and genome annotation algorithms for identifying chromatin state and other genomic patterns MW Libbrecht, RCW Chan, MM Hoffman PLoS computational biology 17 (10), e1009423, 2021 | 26 | 2021 |
| Choosing non‐redundant representative subsets of protein sequence data sets using submodular optimization MW Libbrecht, JA Bilmes, WS Noble Proteins: Structure, Function, and Bioinformatics 86 (4), 454-466, 2018 | 26 | 2018 |
| Choosing panels of genomics assays using submodular optimization K Wei, MW Libbrecht, JA Bilmes, WS Noble Genome biology 17, 1-15, 2016 | 18 | 2016 |
| DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning MS Saberian, KP Moriarty, AD Olmstead, C Hallgrimson, F Jean, IR Nabi, ... IEEE Transactions on Medical Imaging 41 (11), 3128-3145, 2022 | 16 | 2022 |
