Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Aguilar Ruiz, Jesús Salvador"'
Autor:
Nepomuceno Chamorro, Juan Antonio, Troncoso Lora, Alicia, Nepomuceno Chamorro, Isabel de los Ángeles, Aguilar Ruiz, Jesús Salvador
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the co-expression of a group of genes may be the result of an independent activation with respect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a437290ee34471393f7369ac4ad9cabd
Autor:
Márquez Chamorro, Alfonso Eduardo, Asencio Cortés, Gualberto, Santiesteban Toca, Cosme E., Aguilar Ruiz, Jesús Salvador
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
The problem of protein structure prediction (PSP) represents one of the most important challenges in computational biology. Determining the three dimensional structure of proteins is necessary to under stand their functions at molecular level. The mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a746407e3b1d4b9bc15840fd58d111b8
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
This paper presents a scatter search approach based on linear correlations among genes to find biclusters, which include both shifting and scaling patterns and negatively correlated patterns contrarily to most of correlation-based algorithms publishe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9ca99f4816f5deffa3480b8135557653
Autor:
Nepomuceno Chamorro, Isabel de los Ángeles, Márquez Chamorro, Alfonso Eduardo, Aguilar Ruiz, Jesús Salvador
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
The Regression Network plugin for Cytoscape (RegNetC) implements the RegNet algorithm for the inference of transcriptional association network from gene expression profiles. This algorithm is a model tree-based method to detect the relationship betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3fee1f490c57bb405289ea558e59955a
Autor:
Márquez Chamorro, Alfonso Eduardo, Divina, Federico, Bacardit, Jaume, Aguilar Ruiz, Jesús Salvador
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Protein structure prediction remains one of the most important challenges in molecular biology. Contact maps have been extensively used as a simplified representation of protein structures. In this work, we propose a multi-objective evolutionary appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::647162295601b8b864205fb12f6f4e8a
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Biclustering is becoming a popular technique for the study of gene expression data. This is mainly due to the capability of biclustering to address the data using various dimensions simultaneously, as opposed to clustering, which can use only one dim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4bfe305916ac3b3dc1f6c22f1955b35f
La aplicación de métodos de Minería de Datos a la Ingeniería del Software tiene una importancia creciente en distintos aspectos del ciclo de vida del software. En este trabajo presentamos una metodología para inducir reglas que nos permitan esta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3272::89b16582e266c76badea33411c47d86f
Autor:
Márquez Chamorro, Alfonso Eduardo, Divina, Federico, Aguilar Ruiz, Jesús Salvador, Asencio Cortés, Gualberto
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
The Protein Structure Prediction (PSP) problem consists of predicting the structure of a protein from its amino acids sequence, and have received much attention lately. In fact, being able to predict the structure of a protein, would allow to know th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f474a10ae15eca1891311e547bf25623
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
The majority of the biclustering approaches for microarray data analysis use the Mean Squared Residue (MSR) as the main evaluation measure for guiding the heuristic. MSR has been proven to be inefficient to recognize several kind of interesting patte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c0efabc60ddc1b65715a460527b36248