MERIDA: a novel Boolean logic-based integer linear program for personalized cancer therapy.

ABSTRACT:

Motivation

A major goal of personalized medicine in oncology is the optimization of treatment strategies given measurements of the genetic and molecular profiles of cancer cells. To further our knowledge on drug sensitivity, machine learning techniques are commonly applied to cancer cell line panels.

Results

We present a novel integer linear programming formulation, called MEthod for Rule Identification with multi-omics DAta (MERIDA), for predicting the drug sensitivity of cancer cells. The method represents a modified version of the LOBICO method and yields easily interpretable models amenable to a Boolean logic-based interpretation. Since the proposed altered logical rules lead to an enormous acceleration of the running times of MERIDA compared to LOBICO, we cannot only co

SUBMITTER: Lenhof K 

PROVIDER: S-EPMC8570817 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature