DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates.

ABSTRACT:

Motivation

High-throughput mRNA sequencing (RNA-Seq) is a powerful tool for quantifying gene expression. Identification of transcript isoforms that are differentially expressed in different conditions, such as in patients and healthy subjects, can provide insights into the molecular basis of diseases. Current transcript quantification approaches, however, do not take advantage of the shared information in the biological replicates, potentially decreasing sensitivity and accuracy.

Results

We present a novel hierarchical Bayesian model called Differentially Expressed Isoform detection from Multiple biological replicates (DEIsoM) for identifying differentially expressed (DE) isoforms from multiple biological replicates representing two conditions, e.g. multiple samples from hea

SUBMITTER: Peng H 

PROVIDER: S-EPMC5870796 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature