Predicting Enzymatic Hydrolysis Half-lives of New Chemicals Using Support Vector Regression Models Based on Stepwise Feature Elimination

Published in Molecular Informatics, 2017

Recommended citation: Shen W X, Xiao T, Chen S, et al. Predicting the Enzymatic Hydrolysis Half‐lives of New Chemicals Using Support Vector Regression Models Based on Stepwise Feature Elimination[J]. Molecular informatics, 2017, 36(11): 1600153. https://onlinelibrary.wiley.com/doi/10.1002/minf.201600153