Open AccessEvaluation of a novel method of predicting estrogen activity of a group of structurally diverse compounds
Author(s) -
Daniel Consoer
Publication year - 2004
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_theses.3407
Subject(s) - categorical variable , estrogen , set (abstract data type) , human health , computer science , quantitative structure–activity relationship , computational biology , data mining , chemistry , machine learning , biology , medicine , endocrinology , programming language , environmental health
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