DNI-MDCAP: improvement of causal MiRNA-disease association prediction based on deep network imputation.

ABSTRACT:

Background

MiRNAs are involved in the occurrence and development of many diseases. Extensive literature studies have demonstrated that miRNA-disease associations are stratified and encompass ~ 20% causal associations. Computational models that predict causal miRNA-disease associations provide effective guidance in identifying novel interpretations of disease mechanisms and potential therapeutic targets. Although several predictive models for miRNA-disease associations exist, it is still challenging to discriminate causal miRNA-disease associations from non-causal ones. Hence, there is a pressing need to develop an efficient prediction model for causal miRNA-disease association prediction.

Results

We developed DNI-MDCAP, an improved computational model that incorporated addit

SUBMITTER: Han Y 

PROVIDER: S-EPMC10785389 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature