Inferring circRNA-drug sensitivity associations via dual hierarchical attention networks and multiple kernel fusion.

ABSTRACT: Increasing evidence has shown that the expression of circular RNAs (circRNAs) can affect the drug sensitivity of cells and significantly influence drug efficacy. Therefore, research into the relationships between circRNAs and drugs can be of great significance in increasing the comprehension of circRNAs function, as well as contributing to the discovery of new drugs and the repurposing of existing drugs. However, it is time-consuming and costly to validate the function of circRNA with traditional medical research methods. Therefore, the development of efficient and accurate computational models that can assist in discovering the potential interactions between circRNAs and drugs is urgently needed. In this study, a novel method is proposed, called DHANMKF , that aims to predict potential ci

SUBMITTER: Lu S 

PROVIDER: S-EPMC10734204 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature