MUREN: a robust and multi-reference approach of RNA-seq transcript normalization.

ABSTRACT:

Background

Normalization of RNA-seq data aims at identifying biological expression differentiation between samples by removing the effects of unwanted confounding factors. Explicitly or implicitly, the justification of normalization requires a set of housekeeping genes. However, the existence of housekeeping genes common for a very large collection of samples, especially under a wide range of conditions, is questionable.

Results

We propose to carry out pairwise normalization with respect to multiple references, selected from representative samples. Then the pairwise intermediates are integrated based on a linear model that adjusts the reference effects. Motivated by the notion of housekeeping genes and their statistical counterparts, we adopt the robust least trimmed squares

SUBMITTER: Feng Y 

PROVIDER: S-EPMC8317383 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature