Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.

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Title: Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.
Authors: Bryce, Steven M1, Bernacki, Derek T1, Smith-Roe, Stephanie L2, Witt, Kristine L2, Bemis, Jeffrey C1, Dertinger, Stephen D1 sdertinger@litronlabs.com
Source: Toxicological Sciences. Mar2018, Vol. 162 Issue 1, p146-166. 21p.
Database: Environment Complete
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  Data: Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.
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  Data: <searchLink fieldCode="JN" term="%22Toxicological+Sciences%22">Toxicological Sciences</searchLink>. Mar2018, Vol. 162 Issue 1, p146-166. 21p.
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        Value: 10.1093/toxsci/kfx235
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        Text: English
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      – TitleFull: Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.
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              Text: Mar2018
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              Y: 2018
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