文献
J-GLOBAL ID:201902221403705717
整理番号:19A0654887
TOX2110Kライブラリーによる潜在的ヒト健康リスク予測のための直感アプローチ【JST・京大機械翻訳】
An Intuitive Approach for Predicting Potential Human Health Risk with the Tox21 10k Library
著者 (10件):
Sipes Nisha S.
(National Toxicology Program, National Institute of Environmental Health Sciences, North Carolina, United States)
,
Wambaugh John F.
(National Center for Computational Toxicology, U.S. Environmental Protection Agency, North Carolina, United States)
,
Pearce Robert
(National Center for Computational Toxicology, U.S. Environmental Protection Agency, North Carolina, United States)
,
Auerbach Scott S.
(National Toxicology Program, National Institute of Environmental Health Sciences, North Carolina, United States)
,
Wetmore Barbara A.
(National Exposure Research Laboratory, U.S. Environmental Protection Agency, North Carolina, United States)
,
Hsieh Jui-Hua
(North Carolina, United States)
,
Shapiro Andrew J.
(National Toxicology Program, National Institute of Environmental Health Sciences, North Carolina, United States)
,
Svoboda Daniel
(Sciome, North Carolina, United States)
,
DeVito Michael J.
(National Toxicology Program, National Institute of Environmental Health Sciences, North Carolina, United States)
,
Ferguson Stephen S.
(National Toxicology Program, National Institute of Environmental Health Sciences, North Carolina, United States)
資料名:
Environmental Science & Technology
(Environmental Science & Technology)
巻:
51
号:
18
ページ:
10786-10796
発行年:
2017年
JST資料番号:
B0839A
ISSN:
0013-936X
CODEN:
ESTHA
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)