Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

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A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury A Tiered Approach for the Evaluation of the Safety of Botanicals Used as Dietary Supplements: An Industry Strategy

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P2860

Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

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Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

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Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

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Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

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P2093

Edward W Carney

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Gary J Overmann

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George P Daston

http://www.w3.org/2001/XMLSchema#string

Jay P Tiesman

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Jorge M Naciff

http://www.w3.org/2001/XMLSchema#string

Jun Xu

http://www.w3.org/2001/XMLSchema#string

K Nadira De Abrew

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Rachel L Adams

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Raghunandan M Kainkaryam

http://www.w3.org/2001/XMLSchema#string

Raja S Settivari

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P2860

Protein evolution by molecular tinkering: diversification of the nuclear receptor superfamily from a ligand-dependent ancestor

Griseofulvin stabilizes microtubule dynamics, activates p53 and inhibits the proliferation of MCF-7 cells synergistically with vinblastine

An improved bacterial test system for the detection and classification of mutagens and carcinogens

Summaries of Affymetrix GeneChip probe level data

IPCS framework for analyzing the relevance of a noncancer mode of action for humans

Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment

A unified nomenclature system for the nuclear receptor superfamily

Stabilization of wild-type p53 by hypoxia-inducible factor 1alpha

Identification of a nuclear receptor that is activated by farnesol metabolites

Rapid and sensitive reporter gene assays for detection of antiandrogenic and estrogenic effects of environmental chemicals

P304

447-461

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scholarly article

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10.1093/TOXSCI/KFW058

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P433

http://www.w3.org/2001/XMLSchema#string

P478

151

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2016-03-29T00:00:00Z

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27026708

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Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

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P2860

P2860

Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

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P2093

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