Evaluation of critical data processing steps for reliable prediction of gene co-expression from large collections of RNA-seq data.

A key point for accurate prediction of gene co-expression is the collection of many samples. However, paying attention to data normalization, batch effects, and the measure of correlation can significantly improve the quality of co-expression estimates.