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Open Access
Peer-reviewed
Research Article
Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms
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Rajib Mukherjee ,
Contributed equally to this work with: Rajib Mukherjee, Burcu Beykal
Roles Formal analysis, Investigation, Methodology, Software, Writing – review & editing
Affiliation Texas A&M Energy Institute, Texas A&M University, College Station, TX, United States of America
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Burcu Beykal ,
Contributed equally to this work with: Rajib Mukherjee, Burcu Beykal
Roles Investigation, Methodology, Software, Writing – original draft
Affiliations Texas A&M Energy Institute, Texas A&M University, College Station, TX, United States of America, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, United States of America
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Adam T. Szafran,
Roles Conceptualization, Data curation, Investigation, Methodology, Supervision, Writing – review & editing
Affiliation Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States of America
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Melis Onel,
Roles Investigation, Methodology, Writing – review & editing
Affiliations Texas A&M Energy Institute, Texas A&M University, College Station, TX, United States of America, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, United States of America
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Fabio Stossi,
Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing
Affiliations Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States of America, GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, United States of America
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Maureen G. Mancini,
Roles Investigation
Affiliations Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States of America, GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, United States of America
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Dillon Lloyd,
Roles Validation
Affiliation Bioinformatics Research Center, Center for Human Health and the Environment, Department of Statistics, North Carolina State University, Raleigh, NC, United States of America
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Fred A. Wright,
Roles Funding acquisition, Validation
Affiliation Bioinformatics Research Center, Center for Human Health and the Environment, Department of Statistics, North Carolina State University, Raleigh, NC, United States of America
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Lan Zhou,
Roles Conceptualization, Methodology, Supervision, Writing – review & editing
Affiliation Department of Statistics, Texas A&M University, College Station, TX, United States of America
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Michael A. Mancini,
Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing
Affiliations Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States of America, GCC Center for Advanced Microscopy and Image Informatics, Houston, TX, United States of America, Texas A&M University Institute for Bioscience and Technology, Houston, TX, United States of America, Pharmacology and Chemical Genomics, Baylor College of Medicine, Houston, TX, United States of America
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Efstratios N. Pistikopoulos
Roles Funding acquisition, Supervision, Writing – review & editing
* E-mail: stratos@tamu.edu
Affiliations Texas A&M Energy Institute, Texas A&M University, College Station, TX, United States of America, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, United States of America
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Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms
- Rajib Mukherjee,
- Burcu Beykal,
- Adam T. Szafran,
- Melis Onel,
- Fabio Stossi,
- Maureen G. Mancini,
- Dillon Lloyd,
- Fred A. Wright,
- Lan Zhou,
- Michael A. Mancini
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- Published: September 24, 2020
- https://doi.org/10.1371/journal.pcbi.1008191