PanGIA: A universal framework for identifying association between ncRNAs and diseases.

ABSTRACT:

Background

With the growing recognition of the important roles noncoding RNAs (ncRNAs) play in various biological functions, especially their potential involvement in many human diseases, predicting ncRNA-disease associations has become a key challenge in biomedical research.

Results

Although many computational methods have been proposed to predict ncRNA-disease associations, most of these methods focus on a single type of ncRNA. However, the competitive and cooperative interactions among different types of ncRNAs are closely related to their functional roles in disease associations. To address this limitation, we propose a novel computational framework, PanGIA (Pan-ncRNA Graph-Interaction Attention network), designed to simultaneously predict potential associations between

SUBMITTER: Liu X 

PROVIDER: S-EPMC12532321 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature