1 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
A cross-study analysis of drug response prediction in cancer cell lines
Fangfang Xia, Jonathan Allen, Prasanna Balaprakash +21
To enable personalized cancer treatment, machine learning models have been developed to predict drug response as a function of tumor and drug features. However, most algorithm deve…
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…