Open AccessEvaluation of a novel method of predicting estrogen activity of a group of structurally diverse compounds
Author(s) -
Daniel Consoer
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_theses.3407
Subject(s) - categorical variable , estrogen , set (abstract data type) , computer science , human health , computational biology , data mining , machine learning , biology , medicine , environmental health , programming language