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Ismail Bilgen

Showing results (1-10 of 3) with videos related to

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Journal of Neuroscience Methods|June 24, 2020
Machine learning methods for brain network classification: Application to autism diagnosis using cortical morphological networksIsmail Bilgen, Goktug Guvercin, Islem Rekik
Computational Toxicology (Amsterdam, Netherlands)|March 21, 2018
Species translatable blood gene signature as a marker of exposure to smoking: computational approaches of the top ranked teams in the sbv IMPROVER Systems Toxicology challengeÖmer Sinan Saraç, Rahul Kumar, Sandeep Kumar Dhanda, et al.
Computational Toxicology (Amsterdam, Netherlands)|September 18, 2018
The sbv IMPROVER Systems Toxicology Computational Challenge: Identification of Human and Species-Independent Blood Response Markers as Predictors of Smoking Exposure and Cessation StatusVincenzo Belcastro, Carine Poussin, Yang Xiang, et al.
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Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Journal of Neuroscience Methods|June 24, 2020
Machine learning methods for brain network classification: Application to autism diagnosis using cortical morphological networksIsmail Bilgen, Goktug Guvercin, Islem Rekik
Computational Toxicology (Amsterdam, Netherlands)|March 21, 2018
Species translatable blood gene signature as a marker of exposure to smoking: computational approaches of the top ranked teams in the sbv IMPROVER Systems Toxicology challengeÖmer Sinan Saraç, Rahul Kumar, Sandeep Kumar Dhanda, et al.
Computational Toxicology (Amsterdam, Netherlands)|September 18, 2018
The sbv IMPROVER Systems Toxicology Computational Challenge: Identification of Human and Species-Independent Blood Response Markers as Predictors of Smoking Exposure and Cessation StatusVincenzo Belcastro, Carine Poussin, Yang Xiang, et al.
Pageof 1