Fig. 1
From: RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene network
An illustration of RWRMTN app and workflow for predicting disease-associated miRNAs. a Given a disease of interest, RWRMTN app is run on a miRNA-target network to rank candidate miRNAs, then highly ranked miRNAs are supported with evidence from literature and visualized by their rankings. These functions of RWRMTN app can be called in workflows from other environments (e.g., Bash script, Python, R, HTTP) using automation features (e.g., CyREST API). b Prediction of novel miRNAs associated with a disease of interest (e.g., breast cancer) can be done through four steps