WebCMap: an R package for high-throughput connectivity analysis within the CMap framework.

ABSTRACT:

Motivation

Experimentally generated drug-induced transcriptomic signatures are valuable resources to infer candidate drugs for unseen transcriptomes. The Connectivity Map (CMap) includes over 720 000 compound-induced signatures and has been widely used in drug repurposing. However, the computational resources required for an unbiased screen across all these signatures, along with the inconsistent results from different methods, presented huge challenges for the connectivity analyses.

Results

In this study, we developed WebCMap, an R package to search for candidate compounds with similar or reverse activities across all CMap drug-induced signatures. WebCMap implements six widely used methods and a meta-score to evaluate the consistency among these methods. Through a web-accel

SUBMITTER: Kang H 

PROVIDER: S-EPMC12629228 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature