Improving Drug Sensitivity Prediction Using Different Types of Data

HA Hejase, C Chan
2015 CPT: Pharmacometrics & Systems Pharmacology  
The algorithms and models used to address the two subchallenges that are part of the NCI-DREAM (Dialogue for Reverse Engineering Assessments and Methods) Drug Sensitivity Prediction Challenge (2012) are presented. In subchallenge 1, a bidirectional search algorithm is introduced and optimized using an ensemble scheme and a nonlinear support vector machine (SVM) is then applied to predict the effects of the drug compounds on breast cancer cell lines. In subchallenge 2, a weighted Euclidean
more » ... ce method is introduced to predict and rank the drug combinations from the most to the least effective in reducing the viability of a diffuse large B-cell lymphoma (DLBCL) cell line.
doi:10.1002/psp4.2 pmid:26225231 pmcid:PMC4360670 fatcat:ail5vu463rdntp6zm3l3cdm7ca