Climate Change Data Portal
| Supporting read-across predictions of chemical toxicity using high-throughput text-mining | |
| Baker, Nancy1; Knudsen, Thomas2; Williams, Antony2; Crofton, Kevin2; Patlewicz, Grace2 | |
| 发表日期 | 2017-04-02 |
| ISSN | 0065-7727 |
| 卷号 | 253 |
| 语种 | 英语 |
| WOS记录号 | WOS:000430569101506 |
| 来源期刊 | ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
 |
| 来源机构 | 美国环保署 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/56976 |
| 作者单位 | 1.Leidos, Res Triangle Pk, NC USA; 2.US EPA, Natl Ctr Computat Toxicol, Res Triangle Pk, NC 27711 USA |
| 推荐引用方式 GB/T 7714 | Baker, Nancy,Knudsen, Thomas,Williams, Antony,et al. Supporting read-across predictions of chemical toxicity using high-throughput text-mining[J]. 美国环保署,2017,253. |
| APA | Baker, Nancy,Knudsen, Thomas,Williams, Antony,Crofton, Kevin,&Patlewicz, Grace.(2017).Supporting read-across predictions of chemical toxicity using high-throughput text-mining.ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY,253. |
| MLA | Baker, Nancy,et al."Supporting read-across predictions of chemical toxicity using high-throughput text-mining".ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 253(2017). |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
