Deep learning-based transcriptome data classification for drug-target interaction prediction
Abstract Background The ability to predict the interaction of drugs with target proteins is essential to research and development of drug. However, the traditional experimental paradigm is costly, and previous in silico prediction paradigms have been impeded by the wide range of data platforms and d...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-09-01
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Series: | BMC Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12864-018-5031-0 |