Toxicity prediction using multi-disciplinary data integration and novel computational approaches. - Yen S. Low (2013)

Chemistry-wide association studies (CWAS) to determine joint toxicity effects of co-occurring chemical features. - Yen S. Low; Alexander Sedykh; Denis Fourches; Alexander Tropsha (J. Cheminformatics, 2014)

Cheminformatics-aided pharmacovigilance: application to Stevens-Johnson Syndrome. - Yen S. Low; Ola Caster; Tomas Bergvall; Denis Fourches; Xiaoling Zang; G. Niklas Norén; Ivan Rusyn; I. Ralph Edwards; Alexander Tropsha (J. Am. Medical Informatics Assoc., 2016)

Synergistic drug combinations from electronic health records and gene expression. - Yen S. Low; Aaron C. Daugherty; Elizabeth A. Schroeder; William Chen; Tina Seto; Susan C. Weber; Michael Lim; Trevor Hastie; Maya Mathur; Manisha Desai; Carl Farrington; Andrew A. Radin; et al. (J. Am. Medical Informatics Assoc., 2017)

Chemistry-Wide Association Studies (CWAS): A Novel Framework for Identifying and Interpreting Structure-Activity Relationships. - Yen S. Low; Vinicius M. Alves; Denis Fourches; Alexander Sedykh; Carolina Horta Andrade; Eugene N. Muratov; Ivan Rusyn; Alexander Tropsha (J. Chem. Inf. Model., 2018)