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The Influence Relevance Voter: An Accurate And Interpretable Virtual High Throughput Screening Method
Given activity training data from Hight-Throughput Screening (HTS) experiments, virtual High-Throughput Screening (vHTS) methods aim to predict in silico the activity of untested chemicals. We present a novel method, the Influence Relevance Voter (IRV), specifically tailored for the vHTS task. The I...
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| Main Authors: | , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2009
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2750043/ https://ncbi.nlm.nih.gov/pubmed/19391629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/ci8004379 |
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