Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Domingo S. Rodríguez-Baena"'
Autor:
Julia Figueroa-Martínez, Dulcenombre M. Saz-Navarro, Aurelio López-Fernández, Domingo S. Rodríguez-Baena, Francisco A. Gómez-Vela
Publikováno v:
Informatics, Vol 11, Iss 2, p 14 (2024)
Gene networks have become a powerful tool for the comprehensive examination of gene expression patterns. Thanks to these networks generated by means of inference algorithms, it is possible to study different biological processes and even identify new
Externí odkaz:
https://doaj.org/article/fe6cb6ff0571422693f10fc887bebfce
Autor:
Francisco Gómez-Vela, Fernando M. Delgado-Chaves, Domingo S. Rodríguez-Baena, Miguel García-Torres, Federico Divina
Publikováno v:
Entropy, Vol 21, Iss 12, p 1139 (2019)
Gene networks have become a powerful tool in the comprehensive analysis of gene expression. Due to the increasing amount of available data, computational methods for networks generation must deal with the so-called curse of dimensionality in the ques
Externí odkaz:
https://doaj.org/article/5d508af409514083ab8d3d4edb06e947
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 13358-13384 (2024)
Automatic determination of abnormal animal activities can be helpful for the timely detection of signs of health and welfare problems. Usually, this problem is addressed as a classification problem, which typically requires manual annotation of behav
Externí odkaz:
https://doaj.org/article/43e415bacb8345cea3ab3dd14f3784c7
Autor:
Dulcenombre M. Saz-Navarro, Aurelio López-Fernández, Francisco A. Gómez-Vela, Domingo S. Rodriguez-Baena
Publikováno v:
SoftwareX, Vol 25, Iss , Pp 101634- (2024)
The construction of gene co-expression networks is an essential tool in Bioinformatics for discovering useful biological knowledge. There are a multitude of methodologies related to the construction of this type of network, and one of them is EnGNet,
Externí odkaz:
https://doaj.org/article/1f8999d8fc414b4e8672a16e70285e28
Autor:
Francisco Gómez-Vela, Federico Divina, José Antonio Lagares, Carlos D. Barranco, Miguel García-Torres, Aurelio López, Domingo S. Rodríguez Baena
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783319561530
IWBBIO (2)
IWBBIO (2)
Recently, the rising of the Big Data paradigm has had a great impact in several fields. Bioformatics is one such field. In fact, Bioinfomatics had to evolve in order to adapt to this phenomenon. The exponential increase of the biological information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8c3f06b4272606fb40ea560a07306a8
https://doi.org/10.1007/978-3-319-56154-7_32
https://doi.org/10.1007/978-3-319-56154-7_32
Autor:
Norberto Díaz–Díaz, Jesús S. Aguilar–Ruiz, Domingo S. Rodríguez Baena, Isabel Nepomuceno Chamorro
Publikováno v:
Intelligent Data Engineering and Automated Learning-IDEAL 2007 ISBN: 9783540772255
The biclustering techniques have the purpose of finding subsets of genes that show similar activity patterns under a subset of conditions. In this paper we characterize a specific type of pattern, that we have called α-pattern, and present an approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708383868862f1749e532bbd3ae7b7b0
https://doi.org/10.1007/978-3-540-77226-2_83
https://doi.org/10.1007/978-3-540-77226-2_83
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Intelligent Data Engineering and Automated Learning – IDEAL 2006 ISBN: 9783540454854
IDEAL
instname
Intelligent Data Engineering and Automated Learning – IDEAL 2006 ISBN: 9783540454854
IDEAL
n this work, we propose a new greedy clustering algorithm to identify groups of related genes. Clustering algorithms analyze genes in order to group those with similar behavior. Instead, our approach groups pairs of genes that present similar positiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ea6e941700fad70fbe909f6412ac57c