34 citations · 37 across the 2 of their papers we have counts for
4 papers
Machine Learning Models to Predict Inhibition of the Bile Salt Export Pump
Kevin S. McLoughlin, Claire G. Jeong, Thomas D. Sweitzer +7
Drug-induced liver injury (DILI) is the most common cause of acute liver failure and a frequent reason for withdrawal of candidate drugs during preclinical and clinical testing. An…
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery
Amanda J. Minnich, Kevin McLoughlin, Margaret Tse +9
One of the key requirements for incorporating machine learning into the drug discovery process is complete reproducibility and traceability of the model building and evaluation pro…
Rare-Event Sampling of Epigenetic Landscapes and Phenotype Transitions
Margaret J. Tse, Brian K. Chu, Elizabeth L. Read
Stochastic simulation has been a powerful tool for studying the dynamics of gene regulatory networks, particularly in terms of understanding how cell-phenotype stability and fate-t…
Markov State Models of Gene Regulatory Networks
Brian K. Chu, Margaret J. Tse, Royce R. Sato +1
Gene regulatory networks with dynamics characterized by multiple stable states underlie cell fate-decisions. Quantitative models that can link molecular-level knowledge of gene reg…