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 | 58 | 2019 |
A user’s guide to the encyclopedia of DNA elements (ENCODE) ENCODE Project Consortium PLoS Biol 9 (4), e1001046, 2011 | 1449 | 2011 |
An integrated encyclopedia of DNA elements in the human genome ENCODE Project Consortium Nature 489 (7414), 57, 2012 | 14002 | 2012 |
Automated identification of maximal differential cell populations in flow cytometry data A Yue, C Chauve, MW Libbrecht, RR Brinkman Cytometry Part A 101 (2), 177-184, 2022 | 1 | 2022 |
Cell type-agnostic representation of the human epigenome through a deep recurrent neural network KB Dsouza, AY Li, VK Bhargava, MW Libbrecht | | |
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 | 25 | 2018 |
Choosing panels of genomics assays using submodular optimization K Wei, MW Libbrecht, JA Bilmes, WS Noble Genome biology 17, 1-15, 2016 | 17 | 2016 |
Clustering reveals ubiquitous heterogeneity and asymmetry of genomic signals at functional elements. A Kundaje, S Kyriazopoulou-Panagiotopoulou, MW Libbrecht, CL Smith, ... Tiny Trans. Comput. Sci. 2, 2013 | | 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 | 419 | 2014 |
Continuous chromatin state feature annotation of the human epigenome H Daneshpajouh, B Chen, N Shokraneh, S Masoumi, KC Wiese, ... Bioinformatics 38 (11), 3029-3036, 2022 | 2 | 2022 |
Continuous chromatin state feature annotation of the human epigenome B Chen, NS Kenari, MW Libbrecht bioRxiv, 473017, 2018 | 4 | 2018 |
Correction to: Continuous chromatin state feature annotation of the human epigenome SM Shokraneh, KC Wiese, MW Libbrecht Bioinformatics 39, 4, 2023 | | 2023 |
DEEMD: DRUG EFFICACY ESTIMATION AGAINST SARS-COV-2 BASED ON CELL MORPHOLOGY WITH DEEP MS Saberian, KP Moriarty, AD Olmstead, IR Nabi, F Jean, MW Libbrecht, ... | | 2021 |
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning M Sadegh Saberian, KP Moriarty, AD Olmstead, C Hallgrimson, F Jean, ... arXiv e-prints, arXiv: 2105.05758, 2021 | | 2021 |
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 | 11 | 2022 |
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 | 51 | 2016 |
Drug Repurposing Efficacy Estimation based on Morphological Analysis of SARS-CoV-2 Infected Cells within a Multiple Instance Learning Framework MS Saberian, KP Moriarty, AD Olmstead, IR Nabi, F Jean, MW Libbrecht, ... | | |
Eliminating redundancy among protein sequences using submodular optimization MW Libbrecht, JA Bilmes, WS Noble bioRxiv, 051201, 2016 | | 2016 |
Entropic graph-based posterior regularization M Libbrecht, M Hoffman, J Bilmes, W Noble International Conference on Machine Learning, 1992-2001, 2015 | 10 | 2015 |
Geographic heterogeneity impacts drug resistance predictions in Mycobacterium tuberculosis GL Gan, MH Nguyen, E Willie, MH Rezaie, B Lee, C Chauve, M Libbrecht, ... bioRxiv, 2020.09. 17.301226, 2020 | 3 | 2020 |