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motifMDA

Citation Author(s):
Bo-Wei Zhao
Submitted by:
Bowei Zhao
Last updated:
DOI:
10.21227/219z-4y29
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Abstract

To conduct a comprehensive evaluation of MotifMDA's effectiveness, HMDD V2.0 \cite{li2014hmdd} is employed as the benchmark dataset.  It encompasses 495 miRNAs, 383 diseases, and 5,430 human MDAs that have been confirmed through experimental validation. Moreover, another well-regarded database, namely miR2Disease, is also employed as a benchmark dataset in our study. miR2Disease \cite{jiang2009mir2disease} is a comprehensive repository that captures associations between dysfunctional miRNAs and an array of human diseases, and it encompasses 353 miRNAs, 151 diseases, and a total of 2,299 established associations between them. To conduct a comprehensive evaluation of MotifMDA's effectiveness, HMDD V2.0 \cite{li2014hmdd} is employed as the benchmark dataset.  It encompasses 495 miRNAs, 383 diseases, and 5,430 human MDAs that have been confirmed through experimental validation. Moreover, another well-regarded database, namely miR2Disease, is also employed as a benchmark dataset in our study. miR2Disease \cite{jiang2009mir2disease} is a comprehensive repository that captures associations between dysfunctional miRNAs and an array of human diseases, and it encompasses 353 miRNAs, 151 diseases, and a total of 2,299 established associations between them.

Instructions:

# MotifMDA

This is a public code for predicting miRNA-disease associations