Taking a deep dive with active learning for drug discovery

IF 12 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Zachary Fralish, Daniel Reker
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引用次数: 0

Abstract

Active machine learning is employed in academia and industry to support drug discovery. A recent study unravels the factors that influence a deep learning models’ ability to guide iterative discovery.

Abstract Image

利用主动学习深入研究药物发现。
学术界和工业界都采用主动式机器学习来支持药物发现。最近的一项研究揭示了影响深度学习模型指导迭代发现能力的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.70
自引率
0.00%
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