eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research

Augusto Anguita-Ruiz; Alberto Segura-Delgado; Rafael Alcalá; Concepción M. Aguilera; Jesús Alcalá-Fdez

doi:10.1371/journal.pcbi.1007792

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Peer-reviewed

Research Article

eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research

Augusto Anguita-Ruiz ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: augustoanguitaruiz@gmail.com

Affiliations Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Granada, Spain, Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain, CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III (ISCIII), Madrid, Spain

http://orcid.org/0000-0001-6888-1041

⨯
Alberto Segura-Delgado,

Roles Software

Affiliation Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
⨯
Rafael Alcalá,

Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing

Affiliation Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

http://orcid.org/0000-0003-1140-6156

⨯
Concepción M. Aguilera,

Roles Funding acquisition, Supervision, Writing – review & editing

Affiliations Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Granada, Spain, Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain, CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
⨯
Jesús Alcalá-Fdez

Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing

Affiliation Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

http://orcid.org/0000-0002-6190-3575

⨯

eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research

Augusto Anguita-Ruiz,
Alberto Segura-Delgado,
Rafael Alcalá,
Concepción M. Aguilera,
Jesús Alcalá-Fdez

Published: April 10, 2020
https://doi.org/10.1371/journal.pcbi.1007792

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Gene expression
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Data mining
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Diet
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Gene regulation
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Microarrays
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Sequence databases
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Obesity
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