Drug repositioning based on individual bi-random walks on a heterogeneous network
Abstract Background Traditional drug research and development is high cost, time-consuming and risky. Computationally identifying new indications for existing drugs, referred as drug repositioning, greatly reduces the cost and attracts ever-increasing research interests. Many network-based methods h...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-12-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-019-3117-6 |