Juan A. Nepomuceno

发表

A local search in Scatter Search for improving Biclusters

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

A Measure for Data Set Editing by Ordered Projections

Juan A. Nepomuceno, Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, 2006, IEA/AIE.

Using prior knowledge in the inference of gene association networks

Juan A. Nepomuceno, Isabel A. Nepomuceno-Chamorro, José Luis Galván-Rojas, 2020, Applied Intelligence.

A Game Theoretic Neighbourhood-Based Relevance Index

Juan A. Nepomuceno, Encarnación Algaba, Stefano Moretti, 2017, COMPLEX NETWORKS.

Scatter search-based identification of local patterns with positive and negative correlations in gene expression data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2015, Appl. Soft Comput..

An Overlapping Control–Biclustering Algorithm from Gene Expression Data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Inferring gene coexpression networks with Biclustering based on Scatter Search

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Databases Reduction Simultaneously by Ordered Projection

Juan A. Nepomuceno, Jesús S. Aguilar-Ruiz, Roberto Ruiz Sánchez, 2006, Discovery Science.

Pairwise gene GO-based measures for biclustering of high-dimensional expression data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2018, BioData Mining.

Evolutionary metaheuristic for biclustering based on linear correlations among genes

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2010, SAC '10.

RESOP: Un método para la reducción de Bases de Datos

Juan A. Nepomuceno, Roberto Ruiz Sánchez, Isabel A. Nepomuceno-Chamorro, 2006, JISBD.

Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2010, EvoBIO.

An application of the Shapley value to the analysis of co-expression networks

Juan A. Nepomuceno, Encarnación Algaba, Stefano Moretti, 2018, Appl. Netw. Sci..

A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2009, PRIB.

Biclustering of Gene Expression Data by Correlation-Based Scatter Search

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2011, BioData Mining.

Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2016, HAIS.

Integrating biological knowledge based on functional annotations for biclustering of gene expression data

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2015, Comput. Methods Programs Biomed..

Biclusters Evaluation Based on Shifting and Scaling Patterns

Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, 2007, IDEAL.

Title : Combining functional genomics strategies identi fies modular heterogeneity of breast cancer intrinsic subtypes

Juan A. Nepomuceno, Nima Pouladi, Jason H Moore, 2014 .

Graph coloring for extracting discriminative genes in cancer data

Juan A. Nepomuceno, Mohamed A Mahfouz, Juan A Nepomuceno, 2019, Annals of human genetics.