Medicine and Health Sciences Commons^™

Logic Models To Predict Continuous Outputs Based On Binary Inputs With An Application To Personalized Cancer Therapy., Theo A Knijnenburg, Gunnar W Klau, Francesco Iorio, Mathew J Garnett, Ultan Mcdermott, Ilya Shmulevich, Lodewyk F A Wessels

Articles, Abstracts, and Reports

Mining large datasets using machine learning approaches often leads to models that are hard to interpret and not amenable to the generation of hypotheses that can be experimentally tested. We present 'Logic Optimization for Binary Input to Continuous Output' (LOBICO), a computational approach that infers small and easily interpretable logic models of binary input features that explain a continuous output variable. Applying LOBICO to a large cancer cell line panel, we find that logic combinations of multiple mutations are more predictive of drug response than single gene predictors. Importantly, we show that the use of the continuous information leads to …