Human blood gene signature as a marker for smoking exposure: computational approaches of the top ranked teams in the sbv IMPROVER Systems Toxicology challenge

Crowdsourcing has emerged as a framework to address methodological challenges in omics data analysis and assess the extent to which omics data are predictive of phenotypes of interest. The sbv IMPROVER Systems Toxicology Challenge was designed to leverage crowdsourcing to determine whether human blo...

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Detalhes bibliográficos
Publicado no:Comput Toxicol
Main Authors: Tarca, Adi L., Gong, Xiaofeng, Romero, Roberto, Yang, Wenxin, Duan, Zhongqu, Yang, Hao, Zhang, Chengfang, Wang, Peixuan
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5856124/
https://ncbi.nlm.nih.gov/pubmed/29556588
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.comtox.2017.07.003
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