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pro vyhledávání: '"Aguilera CM"'
Autor:
Jesús Alcalá-Fdez, Augusto Anguita-Ruiz, Concepción M. Aguilera, Rafael Alcalá, Alberto Segura-Delgado
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007792 (2020)
PLoS Computational Biology
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
PLoS Computational Biology
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Until date, several machine learning approaches have been proposed for the dynamic modeling of temporal omics data. Although they have yielded impressive results in terms of model accuracy and predictive ability, most of these applications are based
Autor:
Anguita-Ruiz A; 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., Segura-Delgado A; Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain., Alcalá R; Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain., Aguilera CM; 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., Alcalá-Fdez J; Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain.
Publikováno v:
PLoS computational biology [PLoS Comput Biol] 2020 Apr 10; Vol. 16 (4), pp. e1007792. Date of Electronic Publication: 2020 Apr 10 (Print Publication: 2020).