Results 151 to 160 of about 474,495 (173)

Causal discovery in manufacturing

Algorithms for causal discovery have recently undergone rapid advances and increasingly draw on flexible nonparametric methods to process complex data. With these advances comes a need for adequate empirical validation of the causal relationships learned by different algorithms.
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Applications of machine learning in drug discovery and development

Nature Reviews Drug Discovery, 2019
Jessica Vamathevan, Dominic Clark, Paul Czodrowski   +2 more
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Opportunities and challenges in phenotypic drug discovery: an industry perspective

Nature Reviews Drug Discovery, 2017
Fabien Vincent, Jonathan A Lee, Marco Prunotto   +2 more
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Causal Discovery

2011
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Twenty years on: the impact of fragments on drug discovery

Nature Reviews Drug Discovery, 2016
Daniel A Erlanson, Stephen W Fesik, Wolfgang Jahnke   +2 more
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Causal Discovery

2017
openaire   +1 more source

Mitigating risk in academic preclinical drug discovery

Nature Reviews Drug Discovery, 2015
Jayme L Dahlin, James Inglese, Michael A Walters   +2 more
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Biophysics in drug discovery: impact, challenges and opportunities

Nature Reviews Drug Discovery, 2016
Jean-Paul Renaud, U Helena Danielson, Herbert Nar   +2 more
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Automating drug discovery

Nature Reviews Drug Discovery, 2017
Gisbert Schneider
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The effect of plasma protein binding on in vivo efficacy: misconceptions in drug discovery

Nature Reviews Drug Discovery, 2010
Li Di
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