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Carlos H. A. Higa

Carlos Henrique Aguena Higa

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2020 – today

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2023
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Eloi Araujo, Fábio Viduani Martinez, Carlos H. A. Higa, José Soares:
Matrices inducing generalized metric on sequences. Discret. Appl. Math. 332: 135-154 (2023)
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Eloi Araujo, Fábio Viduani Martinez, Carlos H. A. Higa, José Soares:
Matrices inducing generalized metric on sequences. CoRR abs/2303.08725 (2023)

2010 – 2019

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2018
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Jean C. W. K. Ma, Marco Aurelio Stefanes, Carlos H. A. Higa, Luiz C. S. Rozante:
Inferring Gene Regulatory Networks Using Hybrid Parallel Computing. ICCSA (1) 2018: 151-166
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Mariana Caravanti de Souza, Carlos H. A. Higa:
Reverse Engineering of Gene Regulatory Networks Combining Dynamic Bayesian Networks and Prior Biological Knowledge. ICCSA (1) 2018: 323-336
2016
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Camila Y. Koike, Carlos H. A. Higa:
Inference of Gene Regulatory Networks Using Coefficient of Determination, Tsallis Entropy and Biological Prior Knowledge. BIBE 2016: 64-70
2015
[c4]
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Alex Z. Zaccaron, Said Sadique Adi, Carlos H. A. Higa, Eloi Araujo, Burton H. Bluhm:
The Maximum Similarity Partitioning Problem and its Application in the Transcriptome Reconstruction and Quantification Problem. ICCSA (1) 2015: 257-266
2013
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Carlos H. A. Higa, Tales P. Andrade, Ronaldo Fumio Hashimoto:
Growing Seed Genes from Time Series Data and Thresholded Boolean Networks with Perturbation. IEEE ACM Trans. Comput. Biol. Bioinform. 10(1): 37-49 (2013)
2012
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Carlos Henrique Aguena Higa:
Inference of gene regulatory networks using the seed growing paradigm. University of São Paulo, Brazil, 2012
2010
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Carlos H. A. Higa, Vitor H. P. Louzada, Ronaldo Fumio Hashimoto:
Analysis of Gene Interactions Using Restricted Boolean Networks and Time-Series Data. ISBRA 2010: 61-76

2000 – 2009

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2009
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Ronaldo Fumio Hashimoto, Henrique Stagni, Carlos H. A. Higa:
Budding yeast cell cycle modeled by context-sensitive probabilistic Boolean network. GENSiPS 2009: 1-4
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Carlos H. A. Higa, Ronaldo Fumio Hashimoto, Roberto Hirata Jr., Nina S. T. Hirata, Carlos S. Santos:
Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains. GENSiPS 2009: 1-4

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