David Correa Martins

发表

Comparative study of GRNS inference methods based on feature selection by mutual information

David Correa Martins, Roberto Marcondes Cesar Junior, Fabrício Martins Lopes, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Gene regulatory networks inference using a multi-GPU exhaustive search algorithm

David Correa Martins, Raphael Y. de Camargo, Fabrizio F. Borelli, 2013, BMC Bioinformatics.

Inference of Restricted Stochastic Boolean GRN's by Bayesian Error and Entropy Based Criteria

David Correa Martins, Ronaldo Fumio Hashimoto, Vitor H. P. Louzada, 2010, CIARP.

Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data

David Correa Martins, Pabitra Mitra, Ronaldo Fumio Hashimoto, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Gene Networks Inference through Linear Grouping of Variables

David Correa Martins, Junior Barrera, Carlos Fernando Montoya-Cubas, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

An iterative feature selection method for GRNs inference by exploring topological properties pdf

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2011, ArXiv.

Linear grouping of predictor instances to infer gene networks

David Correa Martins, Junior Barrera, Carlos Fernando Montoya-Cubas, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

One genetic algorithm per gene to infer gene networks from expression data

David Correa Martins, Carlos Silva Santos, Ray Duenas Jimenez, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Inference of Gene Regulatory Networks by Topological Prior Information and Data Integration

David Correa Martins, Fabrício Martins Lopes, Shubhra Sankar Ray, 2019, Biotechnology.

A feature selection technique for inference of graphs from their known topological properties: Revealing scale-free gene regulatory networks

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2014, Inf. Sci..

A feature selection approach for identification of signature genes from SAGE data

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2007, BMC Bioinformatics.

GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis

David Correa Martins, Felipe Leno da Silva, Anna Helena Reali Costa, 2017, J. Comput. Biol..

Revealing temporal genetic regulatory networks from steady-state distributions

David Correa Martins, Roberto Marcondes Cesar Junior, Ronaldo Fumio Hashimoto, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

SFFS-MR: A Floating Search Strategy for GRNs Inference

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2010, PRIB.

Feature selection environment for genomic applications

David Correa Martins, Roberto Marcondes Cesar Junior, Fabrício Martins Lopes, 2008, BMC Bioinformatics.

W-operator window design by minimization of mean conditional entropy

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2006, Pattern Analysis and Applications.

Feature selection and intrinsically multivariate prediction in gene regulatory networks identification

David Correa Martins, 2008 .

W-operator window design by maximization of training data information

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2004, Proceedings. 17th Brazilian Symposium on Computer Graphics and Image Processing.

Intrinsically Multivariate Predictive Genes

David Correa Martins, Michael L. Bittner, Edward R. Dougherty, 2008, IEEE Journal of Selected Topics in Signal Processing.

A Framework for Scalable Inference of Temporal Gene Regulatory Networks based on Clustering and Multivariate Analysis

David Correa Martins, Felipe Leno da Silva, Anna Helena Reali Costa, 2016, BAI@IJCAI.

A branch-and-bound feature selection algorithm for U-shaped cost functions pdf

David Correa Martins, Junior Barrera, Marcelo Ris, 2008, ArXiv.

Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data

David Correa Martins, Pabitra Mitra, Ronaldo Fumio Hashimoto, 2015, Network Modeling Analysis in Health Informatics and Bioinformatics.

Signal propagation in Bayesian networks and its relationship with intrinsically multivariate predictive variables

David Correa Martins, Roberto Marcondes Cesar Junior, Ulisses Braga-Neto, 2013, Inf. Sci..

Network-Based Disease Gene Prioritization by Hitting Time Analysis

David Correa Martins, Guilherme Oliveira Mota, Ronaldo Fumio Hashimoto, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Gene Networks Inference through One Genetic Algorithm Per Gene

David Correa Martins, Carlos Silva Santos, Ray Duenas Jimenez, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Constructing Probabilistic Genetic Networks of Plasmodium falciparum from Dynamical Expression Signals of the Intraerythrocytic Development Cycle

David Correa Martins, Junior Barrera, Ricardo Z. N. Vêncio, 2007 .

Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters

Danilo Carastan-Santos, David Correa Martins, Siang Wun Song, 2017, Future Gener. Comput. Syst..

Generating segmented meshes from textured color images

David Correa Martins, Roberto Marcondes Cesar Junior, Luis Gustavo Nonato, 2009, J. Vis. Commun. Image Represent..

Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases

David Correa Martins, Ronaldo Fumio Hashimoto, Helena Brentani, 2012, BCB.

A hybrid CPU‐GPU‐MIC algorithm for minimal hitting set enumeration

Danilo Carastan-Santos, David Correa Martins, Siang Wun Song, 2018, Concurr. Comput. Pract. Exp..

Automatic Window Design for Gray-Scale Image Processing Based on Entropy Minimization

David Correa Martins, Roberto Marcondes Cesar Junior, Junior Barrera, 2005, CIARP.

Accelerating gene regulatory networks inference through GPU/CUDA programming

David Correa Martins, Raphael Y. de Camargo, Fabrizio F. Borelli, 2012, 2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS).

A Multi-GPU Hitting Set Algorithm for GRNs Inference

Danilo Carastan-Santos, David Correa Martins, Siang Wun Song, 2015, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.

U-curve: A branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem

David Correa Martins, Junior Barrera, Marcelo Ris, 2010, Pattern Recognit..

Multi-GPU Approach for Large-Scale Multiple Sequence Alignment

Eloi Araujo, David Correa Martins, Luiz C. S. Rozante, 2021, ICCSA.