EMUDRA: Ensemble of Multiple Drug Repositioning Approaches to improve prediction accuracy.

ABSTRACT:

Motivation

Availability of large-scale genomic, epigenetic and proteomic data in complex diseases makes it possible to objectively and comprehensively identify the therapeutic targets that can lead to new therapies. The Connectivity Map has been widely used to explore novel indications of existing drugs. However, the prediction accuracy of the existing methods, such as Kolmogorov-Smirnov statistic remains low. Here we present a novel high-performance drug repositioning approach that improves over the state-of-the-art methods.

Results

We first designed an expression weighted cosine (EWCos) method to minimize the influence of the uninformative expression changes and then developed an ensemble approach termed ensemble of multiple drug repositioning approaches (EMUDRA) to integr

SUBMITTER: Zhou X 

PROVIDER: S-EPMC6138000 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature