An expectation-maximization framework for comprehensive prediction of isoform-specific functions.

ABSTRACT:

Motivation

Advances in RNA sequencing technologies have achieved an unprecedented accuracy in the quantification of mRNA isoforms, but our knowledge of isoform-specific functions has lagged behind. There is a need to understand the functional consequences of differential splicing, which could be supported by the generation of accurate and comprehensive isoform-specific gene ontology annotations.

Results

We present isoform interpretation, a method that uses expectation-maximization to infer isoform-specific functions based on the relationship between sequence and functional isoform similarity. We predicted isoform-specific functional annotations for 85 617 isoforms of 17 900 protein-coding human genes spanning a range of 17 430 distinct gene ontology terms. Comparison with a

SUBMITTER: Karlebach G 

PROVIDER: S-EPMC10079350 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature