Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Carolina Gómez-Márquez"'
Autor:
Daniel Farfán, Carolina Gómez-Márquez, Dania Sandoval-Nuñez, Omar Paredes, J. Alejandro Morales
Publikováno v:
Franklin Open, Vol 7, Iss , Pp 100106- (2024)
We introduce Bidirectional and Auto-Regressive Transformer for Reactions (BARTReact), a self-supervised deep learning model designed to predict chemical reactions. Built on the powerful Bidirectional and Auto-Regressive Transformer (BART) architectur
Externí odkaz:
https://doaj.org/article/02d37898400443fbbfcdfabe1a855fe3
Autor:
Carolina Gómez-Márquez, J. Alejandro Morales, Teresa Romero-Gutiérrez, Omar Paredes, Ernesto Borrayo
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
The search for the minimum information required for an organism to sustain a cellular system network has rendered both the identification of a fixed number of known genes and those genes whose function remains to be identified. The approaches used in
Externí odkaz:
https://doaj.org/article/bdc8b1e27a984f828d9f8fe8d13e1da5
Autor:
Carolina Gómez-Márquez, Dania Sandoval-Nuñez, Anne Gschaedler, Teresa Romero-Gutiérrez, Lorena Amaya-Delgado, J Alejandro Morales
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 12, Iss 1 (2021)
AbstractThe yeast Kluyveromyces marxianusK. marxianusK. marxianusK. marxianuskLAC12INU1K. marxianus
Externí odkaz:
https://doaj.org/article/08b1591590a946dfb4d99393cd025237
Autor:
Dania Sandoval-Nuñez, Teresa Romero-Gutiérrez, Carolina Gómez-Márquez, Anne Gshaedler, Melchor Arellano-Plaza, Lorena Amaya-Delgado
Publikováno v:
Applied Microbiology and Biotechnology. 107:1421-1438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac935d79f19012fd5ec2b811786a91e4
https://doi.org/10.1007/s00253-022-12354-7
https://doi.org/10.1007/s00253-022-12354-7