Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8376831 | Computational Toxicology | 2018 | 14 Pages |
Abstract
In conclusion, the Systems Toxicology challenge demonstrated the feasibility of extracting a consistent blood-based smoke exposure response gene signature and further stressed the importance of independent and unbiased data and method evaluations to provide confidence in systems toxicology-based scientific conclusions.
Related Topics
Physical Sciences and Engineering
Mathematics
Computational Mathematics
Authors
Vincenzo Belcastro, Carine Poussin, Yang Xiang, Maurizio Giordano, Kumar Parijat Tripathi, Akash Boda, Ali Tugrul Balci, Ismail Bilgen, Sandeep Kumar Dhanda, Zhongqu Duan, Xiaofeng Gong, Rahul Kumar, Roberto Romero, Omer Sinan Sarac, Adi L. Tarca,