MDCAP
MDCAP (MiRNA-Disease Causal Association Predictor) is a computational tool to predict causal associations between microRNAs (miRNAs) and diseases. The key features and functionalities of MDCAP are:
1. Database integration: MDCAP incorporates manually curated causal miRNA-disease association information from the updated Human miRNA Disease Database (HMDD).
2. Causal association prediction: The tool employs a computational model to predict novel causal miRNA-disease associations beyond merely presenting known associations.
3. Performance evaluation: MDCAP achieved an area under the receiver operating characteristic (ROC) curve of 0.928 for the independent test and 0.925 for 10-fold cross-validation, indicating its high predictive accuracy.
Topic
Functional, regulatory and non-coding RNA;Pathology;Cardiology;Molecular biology;Gene transcripts
Detail
Operation: Validation;miRNA target prediction;miRNA expression analysis
Software interface: Command-line interface
Language: Python
License: Not stated
Cost: Free of charge
Version name: -
Credit: National Key R&D Program, Natural Science Foundation of China, Fundamental Research Funds for Central Universities of China.
Input: -
Output: -
Contact: Yuan Zhou zhouyuanbioinfo@hsc.pku.edu.cn, Qinghua Cui cuiqinghua@hsc.pku.edu.cn
Collection: -
Maturity: -
Publications
- A Computational Model to Predict the Causal miRNAs for Diseases.
- Gao Y, et al. A Computational Model to Predict the Causal miRNAs for Diseases. A Computational Model to Predict the Causal miRNAs for Diseases. 2019; 10:935. doi: 10.3389/fgene.2019.00935
- https://doi.org/10.3389/FGENE.2019.00935
- PMID: 31632446
- PMC: PMC6786093
Download and documentation
Documentation: https://github.com/cuppeanuts/MDCAP/blob/master/README.md
Home page: https://github.com/cuppeanuts/MDCAP
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