A random effects model for the identification of differential splicing (REIDS) using exon and HTA arrays.

ABSTRACT:

Background

Alternative gene splicing is a common phenomenon in which a single gene gives rise to multiple transcript isoforms. The process is strictly guided and involves a multitude of proteins and regulatory complexes. Unfortunately, aberrant splicing events do occur which have been linked to genetic disorders, such as several types of cancer and neurodegenerative diseases (Fan et al., Theor Biol Med Model 3:19, 2006). Therefore, understanding the mechanism of alternative splicing and identifying the difference in splicing events between diseased and healthy tissue is crucial in biomedical research with the potential of applications in personalized medicine as well as in drug development.

Results

We propose a linear mixed model, Random Effects for the Identification of Dif

SUBMITTER: Van Moerbeke M 

PROVIDER: S-EPMC5445373 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature