BatchFLEX: feature-level equalization of X-batch.

ABSTRACT:

Motivation

Integrative analysis of heterogeneous expression data remains challenging due to variations in platform, RNA quality, sample processing, and other unknown technical effects. Selecting the approach for removing unwanted batch effects can be a time-consuming and tedious process, especially for more biologically focused investigators.

Results

Here, we present BatchFLEX, a Shiny app that can facilitate visualization and correction of batch effects using several established methods. BatchFLEX can visualize the variance contribution of a factor before and after correction. As an example, we have analyzed ImmGen microarray data and enhanced its expression signals that distinguishes each immune cell type. Moreover, our analysis revealed the impact of the batch correction

SUBMITTER: Davis JT 

PROVIDER: S-EPMC11486499 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature