On the impact of batch effect correction in TCGA isomiR expression data
Abstract MicroRNAs (miRNAs) are small non-coding RNAs with diverse functions in post-transcriptional regulation of gene expression. Sequence and length variants of miRNAs are called isomiRs and can exert different functions compared to their canonical counterparts. The Cancer Genome Atlas (TCGA) provides isomiR-level expression data for patients of various cancer entities collected in a multi-center approach over several years. However, the impact of batch effects within individual cohorts has not been systematically investigated and corrected for before. Therefore, the aim of
This article is available to registered members
Create a free account to access our full library of peer-reviewed research on medical cannabis.
Join — it's freeAlready a member? Log in