Carlos H. A. Higa

According to our database, Carlos H. A. Higa authored at least 10 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Matrices inducing generalized metric on sequences.

Eloi Araujo, Fábio Viduani Martinez, Carlos H. A. Higa, José Soares

Discret. Appl. Math., June, 2023

2018

Reverse Engineering of Gene Regulatory Networks Combining Dynamic Bayesian Networks and Prior Biological Knowledge.

Mariana Caravanti de Souza, Carlos H. A. Higa

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

Inferring Gene Regulatory Networks Using Hybrid Parallel Computing.

Jean C. W. K. Ma, Marco Aurelio Stefanes, Carlos H. A. Higa, Luiz C. S. Rozante

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2016

Inference of Gene Regulatory Networks Using Coefficient of Determination, Tsallis Entropy and Biological Prior Knowledge.

Camila Y. Koike, Carlos H. A. Higa

Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2015

The Maximum Similarity Partitioning Problem and its Application in the Transcriptome Reconstruction and Quantification Problem.

Alex Z. Zaccaron, Said Sadique Adi, Carlos H. A. Higa, Eloi Araujo, Burton H. Bluhm

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

2013

Growing Seed Genes from Time Series Data and Thresholded Boolean Networks with Perturbation.

Carlos H. A. Higa, Tales P. Andrade, Ronaldo Fumio Hashimoto

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2012

Inference of gene regulatory networks using the seed growing paradigm.

Carlos Henrique Aguena Higa

PhD thesis, 2012

2010

Analysis of Gene Interactions Using Restricted Boolean Networks and Time-Series Data.

Carlos H. A. Higa, Vitor H. P. Louzada, Ronaldo Fumio Hashimoto

Proceedings of the Bioinformatics Research and Applications, 6th International Symposium, 2010

2009

Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains.

Carlos H. A. Higa, Ronaldo Fumio Hashimoto, Roberto Hirata Jr., Nina S. T. Hirata, Carlos S. Santos

Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Budding yeast cell cycle modeled by context-sensitive probabilistic Boolean network.

Ronaldo Fumio Hashimoto, Henrique Stagni, Carlos H. A. Higa

Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009