CrossIsoFun: predicting isoform functions using the integration of multi-omics data.

ABSTRACT:

Motivation

Isoforms spliced from the same gene may carry distinct biological functions. Therefore, annotating functions at the isoform level provides valuable insights into the functional diversity of genomes. Since experimental approaches for determining isoform functions are time- and cost-demanding, computational methods have been proposed. In this case, multi-omics data integration helps enhance the model performance, providing complementary insights for isoform functions. However, current methods underperform in leveraging diverse omics data, primarily due to the limited power to integrate the heterogeneous feature domains. Besides, among the multi-omics data, isoform-isoform interactions (IIIs) are a key data source, as isoforms interact with each other to perform functions.

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11706537 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature