Author profile: Nepomuceno Chamorro, Juan Antonio
Institutional data
| Name | Nepomuceno Chamorro, Juan Antonio |
| Department | Lenguajes y Sistemas Informáticos |
| Knowledge area | Lenguajes y Sistemas Informáticos |
| Professional category | Profesor Contratado Doctor |
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Statistics
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No. publications
25
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No. visits
1853
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No. downloads
3073
| Publications |
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Article
 Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study
(Springer, 2023)
Sepsis is a life-threatening condition whose early recognition is key to improving outcomes for patients in intensive care ... |
Article
Using prior knowledge in the inference of gene association networks
(Springer, 2020)
Traditional computational techniques are recently being improved with the use of prior biological knowledge from open ... |
Article
Graph coloring for extracting discriminative genes in cancer data
(Wiley, 2019)
Background and objective: The major difficulty of the analysis of the input gene expression data in a microarray-based ... |
Article
An application of the Shapley value to the analysis of co-expression networks
(Springer Nature, 2018)
We study the problem of identifying relevant genes in a co-expression network using a (cooperative) game theoretic approach. ... |
Article
Pairwise gene GO-based measures for biclustering of high-dimensional expression data
(BMC: part of Springer Verlag, 2018)
Background: Biclustering algorithms search for groups of genes that share the same behavior under a subset of samples in ... |
Presentation
A Game Theoretic Neighbourhood-Based Relevance Index
(Springer, 2017)
Centrality measures are used in network analysis to identify the relevant elements in a network. Recently, several centrality ... |
Presentation
Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure
(Springer, 2016)
Biclustering is an unsupervised machine learning technique that simultaneously clusters genes and conditions in gene ... |
PhD Thesis
Biclustering sobre datos de expresión génica basado en búsqueda dispersa
(2015)
Los datos de expresión génica, y su particular naturaleza e importancia, motivan no sólo el desarrollo de nuevas técnicas ... |
Article
Scatter search-based identification of local patterns with positive and negative correlations in gene expression data
(Elsevier, 2015)
This paper presents a scatter search approach based on linear correlations among genes to find biclusters, which include ... |
Article
Integrating biological knowledge based on functional annotations for biclustering of gene expression data
(Elsevier, 2015)
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption ... |
Presentation
Inferencia de Redes de Asociación de Genes Guiada por Similitud Semántica
(Asociación Española para la Inteligencia Artificial, 2015)
En este trabajo se propone el uso de conocimiento a priori como heurística en métodos de inferencia de redes de genes a ... |
Presentation
Metodología de evaluación continua en la asignatura de Fundamentos de Programación: un cambio de evaluación enfocado al desarrollo de competencias
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2012)
El marco del Espacio Europeo de Educación Supe rior (EEES) y la implantación del Sistema de Crédito Europeo (ECTS) han ... |
| Article |
Presentation
Inferring gene coexpression networks with Biclustering based on Scatter Search
(IEEE Computer Society, 2011)
The identification of regulatory modules is one of the most important tasks in order to discover disease markers. This ... |
Presentation
A Local Search in Scatter Search for Improving Biclusters
(IEEE Computer Society, 2011)
Scatter Search is a population-based metaheuristic that emphasizes systematic processes against random proce dures. A local ... |
Presentation
Evolutionary Metaheuristic for Biclustering based on Linear Correlations among Genes
(Association for Computing Machinery (ACM), 2010)
A new measure to evaluate the quality of a bicluster is proposed in this paper. This measure is based on correlations among ... |
Presentation
Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Data
(Springer, 2010)
Scatter Search is an evolutionary method that combines ex isting solutions to create new offspring as the well–known genetic ... |
Presentation
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms
(Springer, 2009)
In this paper a hybrid metaheuristic for biclustering based on Scatter Search and Genetic Algorithms is presented. A general ... |
Presentation
An Overlapping Control–Biclustering Algorithm from Gene Expression Data
(IEEE Computer Society, 2009)
In this paper a hybrid metaheuristic for biclustering based on Scatter Search and Genetic Algorithms is pre sented. A ... |
Presentation
VisualTissue: A Friendly Tool to Study Tissue P Systems Solutions for Graph Problems
(Fénix Editora, 2007)
P systems can be classi ed in two main groups: P systems with the membrane structure described by a tree, and tissue P ... |
Presentation
Biclusters Evaluation Based on Shifting and Scaling Patterns
(Springer, 2007)
Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological ... |
Presentation
Databases Reduction Simultaneously by Ordered Projection
(Springer, 2006)
In this paper, a new algorithm Database Reduction Simulta neously by Ordered Projections (RESOP) is introduced. This ... |
Presentation
A Measure for Data Set Editing by Ordered Projections
(Springer, 2006)
In this paper we study a measure, named weakness of an example, which allows us to establish the importance of an example ... |
Presentation
A Tool for Using the SBML Format to Represent P Systems which Model Biological Reaction Networks
(Fénix Editora, 2005)
In this paper we present a software tool to represent P systems modelling signalling networks of biochemical reactions ... |
Presentation
Feature selection based on bootstrapping
(IEEE Computer Society, 2005)
The results of feature selection methods have a great influence on the success of data mining processes, especially when ... |