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GENECI: A novel evolutionary machine learning consensus-bas..:
Segura Ortiz, Adrián
;
García-Nieto, José Manuel
;
Aldana-Montes, José Francisco
.
Segura-Ortiz, García-Nieto, J., Aldana-Montes, J. F., & Navas-Delgado, I. (2023). GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks. Computers in Biology and Medicine, 155, 106653–106653. https://doi.org/10.1016/j.compbiomed.2023.106653. , 2023
Link:
https://hdl.handle.net/10630/26539
RT Journal T1
GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks
UL https://suche.suub.uni-bremen.de/peid=base-ftunivmalaga:oai:riuma.uma.es:10630_26539&Exemplar=1&LAN=DE A1 Segura Ortiz, Adrián A1 García-Nieto, José Manuel A1 Aldana-Montes, José Francisco A1 Navas-Delgado, Ismael PB Elsevier YR 2023 K1 Computación evolutiva K1 Aprendizaje automático (Inteligencia artificial) K1 Gene regulatory networks K1 Differential expression K1 Machine learning K1 Evolutionary algorithms JF Segura-Ortiz, García-Nieto, J., Aldana-Montes, J. F., & Navas-Delgado, I. (2023). GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks. Computers in Biology and Medicine, 155, 106653–106653. https://doi.org/10.1016/j.compbiomed.2023.106653 LK http://dx.doi.org/https://hdl.handle.net/10630/26539 DO https://hdl.handle.net/10630/26539 SF ELIB - SuUB Bremen
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