Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Juan Luis Fernández-Martínez"'
Autor:
Ana Cernea, Juan Luis Fernández-Martínez, Enrique J. deAndrés-Galiana, Francisco Javier Fernández-Ovies, Oscar Alvarez-Machancoses, Zulima Fernández-Muñiz, Leorey N. Saligan, Stephen T. Sonis
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S2, Pp 1-13 (2020)
Abstract Background Phenotype prediction problems are usually considered ill-posed, as the amount of samples is very limited with respect to the scrutinized genetic probes. This fact complicates the sampling of the defective genetic pathways due to t
Externí odkaz:
https://doaj.org/article/a8d72fd16e714abc9845facceb2a2eea
Autor:
Pelayo Martínez-Fernández, Zulima Fernández-Muñiz, Ana Cernea, Juan Luis Fernández-Martínez, Andrzej Kloczkowski
Publikováno v:
Mathematics, Vol 11, Iss 3, p 506 (2023)
The COVID-19 outbreak was a major event that greatly impacted the economy and the health systems around the world. Understanding the behavior of the virus and being able to perform long-term and short-term future predictions of the daily new cases is
Externí odkaz:
https://doaj.org/article/119f6fb84f2a4380b095a782b514c631
Publikováno v:
Molecules, Vol 25, Iss 11, p 2467 (2020)
We discuss the use of the regularized linear discriminant analysis (LDA) as a model reduction technique combined with particle swarm optimization (PSO) in protein tertiary structure prediction, followed by structure refinement based on singular value
Externí odkaz:
https://doaj.org/article/ea1a3c8b7aef487796fb35bc4855bb04
Autor:
Óscar Álvarez-Machancoses, Enrique J. De Andrés-Galiana, Juan Luis Fernández-Martínez, Andrzej Kloczkowski
Publikováno v:
Biomolecules, Vol 10, Iss 1, p 67 (2019)
Accurate prediction of protein stability changes resulting from amino acid substitutions is of utmost importance in medicine to better understand which mutations are deleterious, leading to diseases, and which are neutral. Since conducting wet lab ex
Externí odkaz:
https://doaj.org/article/ae92bbc0d0de4477b0325aa2f64a7d06
Publikováno v:
Cancer Informatics, Vol 2014, Iss 13, Pp 141-152 (2014)
Externí odkaz:
https://doaj.org/article/dca6c34240e94d10af5b4150e511881e
Autor:
José L. G. Pallero, María Zulima Fernández-Muñiz, Ana Cernea, Óscar Álvarez-Machancoses, Luis Mariano Pedruelo-González, Sylvain Bonvalot, Juan Luis Fernández-Martínez
Publikováno v:
Entropy, Vol 20, Iss 2, p 96 (2018)
Most inverse problems in the industry (and particularly in geophysical exploration) are highly underdetermined because the number of model parameters too high to achieve accurate data predictions and because the sampling of the data space is scarce a
Externí odkaz:
https://doaj.org/article/67e35580152749d0ba7681ce9a99b6b5
Autor:
Rafael Rosell, Niki Karachaliou, Imane Chaib, Sara Pilotto, Emilio Bria, Juan Luis Fernández-Martínez, Jose Luis Ramirez
Publikováno v:
EBioMedicine, Vol 2, Iss 8, Pp 782-783 (2015)
Externí odkaz:
https://doaj.org/article/cdadb08c9ced409799943a80e43a4f5e
Autor:
Maryam Lustberg, Xuan Wu, Juan Luis Fernández-Martínez, Enrique J. de Andrés-Galiana, Santosh Philips, Jeffrey Leibowitz, Bryan Schneider, Stephen Sonis
Publikováno v:
Supportive Care in Cancer. 31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec6d5c5b0c9ee5f27c447a34dcb5ffe5
https://doi.org/10.1007/s00520-023-07617-6
https://doi.org/10.1007/s00520-023-07617-6
Autor:
Maryam Lustberg, Xuan Wu, Juan Luis Fernández-Martínez, Enrique J. de Andrés-Galiana, Santosh Philips, Jeffrey Leibowitz, Bryan Schneider, Stephen Sonis
Publikováno v:
Supportive Care in Cancer. 31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb8b140df1893c3fc3ad088c10e9afe1
https://doi.org/10.1007/s00520-023-07595-9
https://doi.org/10.1007/s00520-023-07595-9
Autor:
Azucena Rodríguez-Guardado, Fernando Vázquez, María Martinez Sela, Jonathan Fernández, Luis Casado, Candela Menendez, Enrique J. de Andrés-Galiana, José Antonio Boga, Juan Luis Fernández-Martínez, Noelia Moran Suarez, Alicia García-Pérez
Publikováno v:
Am J Trop Med Hyg
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b462e1b9b4b92bc8a8c8f16f2eb8ced
https://doi.org/10.4269/ajtmh.20-1443
https://doi.org/10.4269/ajtmh.20-1443