Dual transcriptomic and molecular machine learning predicts all major clinical forms of drug cardiotoxicity
Computational methods can increase productivity of drug discovery pipelines, through overcoming challenges such as cardiotoxicity identification. We demonstrate prediction and preservation of cardiotoxic relationships for six drug-induced cardiotoxicity types using a machine learning approach on a l...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Frontiers Media
2020
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| Subjects: |