DDCM: A Computational Strategy for Drug Repositioning Based on Support-Vector Regression Algorithm

Computational drug-repositioning technology is an effective tool for speeding up drug development. As biological data resources continue to grow, it becomes more important to find effective methods to identify potential therapeutic drugs for diseases. The effective use of valuable data has become a...

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Bibliographic Details
Published in:	International journal of molecular sciences Vol. 25; no. 10; p. 5267
Main Authors:	Xu, Manyi, Li, Wan, He, Jiaheng, Wang, Yahui, Lv, Junjie, He, Weiming, Chen, Lina, Zhi, Hui
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.05.2024
Subjects:	Algorithms Analysis Anopheles Cardiovascular diseases Cardiovascular Diseases - drug therapy Computational Biology - methods Data mining Development and progression Disease Drug development Drug Repositioning - methods Drug therapy Drugs Genes Health aspects Humans Lung cancer Machine learning Medical research Medicine, Experimental Neoplasms - drug therapy Pathogenesis Pharmaceutical industry Romidepsin Support Vector Machine Survival analysis Tumors hybrid matrix drug repositioning support-vector regression potential therapeutic drugs
ISSN:	1422-0067, 1661-6596, 1422-0067
Online Access:	Get full text
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