Boris Hayete
Boris Hayete
Senior Vice President, Computational Discovery, VL55
Verified email at
Cited by
Cited by
A common mechanism of cellular death induced by bactericidal antibiotics
MA Kohanski, DJ Dwyer, B Hayete, CA Lawrence, JJ Collins
Cell 130 (5), 797-810, 2007
Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles
JJ Faith, B Hayete, JT Thaden, I Mogno, J Wierzbowski, G Cottarel, ...
PLoS biol 5 (1), e8, 2007
Gyrase inhibitors induce an oxidative damage cellular death pathway in Escherichia coli
DJ Dwyer, MA Kohanski, B Hayete, JJ Collins
Molecular systems biology 3 (1), 91, 2007
Many Microbe Microarrays Database: uniformly normalized Affymetrix compendia with structured experimental metadata
JJ Faith, ME Driscoll, VA Fusaro, EJ Cosgrove, B Hayete, FS Juhn, ...
Nucleic acids research 36 (suppl_1), D866-D870, 2007
Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson's disease: a longitudinal cohort study and validation
JC Latourelle, MT Beste, TC Hadzi, RE Miller, JN Oppenheim, MP Valko, ...
The Lancet Neurology 16 (11), 908-916, 2017
Gotrees: predicting go associations from protein domain composition using decision trees
B Hayete, JR Bienkowska
Biocomputing 2005, 127-138, 2005
Size matters: network inference tackles the genome scale
B Hayete, TS Gardner, JJ Collins
Molecular systems biology 3 (1), 77, 2007
A Bayesian mathematical model of motor and cognitive outcomes in Parkinson’s disease
B Hayete, D Wuest, J Laramie, P McDonagh, B Church, S Eberly, A Lang, ...
PLoS One 12 (6), e0178982, 2017
Systems biology and in vitro validation identifies family with sequence similarity 129 member A (FAM129A) as an asthma steroid response modulator
MJ McGeachie, GL Clemmer, B Hayete, H Xing, K Runge, AC Wu, X Jiang, ...
Journal of Allergy and Clinical Immunology 142 (5), 1479-1488. e12, 2018
Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease
MJ Mason, C Schinke, CLP Eng, F Towfic, F Gruber, A Dervan, BS White, ...
Leukemia, 1-9, 2020
Inferring Gene Networks for Strains of Dehalococcoides Highlights Conserved Relationships between Genes Encoding Core Catabolic and Cell-Wall Structural…
CB Mansfeldt, GW Heavner, AR Rowe, B Hayete, BW Church, ...
PloS one 11 (11), e0166234, 2016
Bayesian network models of multiple myeloma: drivers of high risk and durable response
F Gruber, JJ Keats, K McBride, K Runge, D Wuest, T Hadzi, M Derome, ...
Blood, The Journal of the American Society of Hematology 128 (22), 4406-4406, 2016
MDL-motivated compression of GLM ensembles increases interpretability and retains predictive power
B Hayete, M Valko, A Greenfield, R Yan
arXiv preprint arXiv:1611.06800, 2016
Machine learning approach to personalized medicine in breast cancer patients: Development of data-driven, personalized, causal modeling through identification and understanding…
H Kaplan, A Berry, K Rinn, E Ellis, G Birchfield, T Wahl, X Liu, M Tameishi, ...
Cancer Research 78 (13 Supplement), 5299-5299, 2018
458PD Causal modeling of CALGB/SWOG 80405 (Alliance) identifies primary (1) side-related angiogenic drivers of metastatic colorectal cancer (mCRC)
RK Das, L Furchtgott, FS Ou, D Swanson, B Hayete, B Harms, D Cunha, ...
Annals of Oncology 29 (suppl_8), mdy281. 006, 2018
Method to determine transcriptional regulation pathways in organisms
TS Gardner, JJ Collins, B Hayete, J Faith
US Patent 8,306,752, 2012
Preclinical Validation Studies Support Causal Machine Learning Based Identification of Novel Drug Targets for High-Risk Multiple Myeloma
A Bolomsky, F Gruber, K Stangelberger, L Furchtgott, D Arnold, P Raut, ...
Blood 132 (Supplement 1), 3210-3210, 2018
Accurate prediction of clinical disease progression in patients with advanced fibrosis due to NASH using a Bayesian machine learning approach
JC Latourelle, J Tu, RK Das, L Furchtgott, B Schoeberl, B Smiechowski, ...
Journal of Hepatology 68, S573, 2018
Multiple myeloma drivers of high risk and response to stem cell transplantation identified by causal machine learning: Out-of-cohort and experimental validation
L Furchtgott, A Bolomsky, F Gruber, MK Samur, JJ Keats, J Yesil, ...
Blood 130 (Supplement 1), 3029-3029, 2017
Large-scale identification of clinical and genetic predictors of Parkinson’s disease motor progression in newly-diagnosed patients: a longitudinal cohort study and validation
JC Latourelle, MT Beste, TC Hadzi, RE Miller, JN Oppenheim, MP Valko, ...
The Lancet. Neurology 16 (11), 908, 2017
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