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Approaches for the identification of driver mutations in cancer a tutorial from a computational perspective
Approaches for the identification of driver mutations in cancer a tutorial from a computational perspective
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Artigo 		Adicionar ao Meu Espaço

Approaches for the identification of driver mutations in cancer a tutorial from a computational perspective

Jorge Francisco Cutigi Adriane Feijó Evangelista; Adenilso da Silva Simão

Journal of Bioinformatics and Computational Biology London : Imperial College Press v. 18, n. 3, p. 2050016-1-2050016-32, 2020

London 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3001864 )(Acessar)

2
Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery
Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery

Jorge Francisco Cutigi Renato Feijo Evangelista; Rodrigo Henrique Ramos; Cynthia de Oliveira Lage Ferreira; Adriane Feijó Evangelista; André Carlos Ponce de Leon Ferreira de Carvalho; Adenilso da Silva Simão; Brazilian Symposium on Bioinformatics - BSB (13. 2020 São Paulo)

Lecture Notes in Bioinformatics Cham : Springer v. 12558, p. 81-92, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3014761 )(Acessar)

3
Topological characterization of cancer driver genes using reactome super pathways networks
Topological characterization of cancer driver genes using reactome super pathways networks
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Artigo de Congresso 		Adicionar ao Meu Espaço

Topological characterization of cancer driver genes using reactome super pathways networks

Rodrigo Henrique Ramos Jorge Francisco Cutigi; Cynthia de Oliveira Lage Ferreira; Adenilso da Silva Simão; Brazilian Symposium on Bioinformatics - BSB (14. 2021 Online)

Lecture Notes in Bioinformatics Cham : Springer v. 13063, p. 26-37, 2021

Cham Springer 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3052806 )(Acessar)

4
GeNWeMME a network-based computational method for prioritizing groups of significant related genes in cancer
GeNWeMME a network-based computational method for prioritizing groups of significant related genes in cancer
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Artigo de Congresso 		Adicionar ao Meu Espaço

GeNWeMME a network-based computational method for prioritizing groups of significant related genes in cancer

Jorge Francisco Cutigi Adriane Feijó Evangelista; Adenilso da Silva Simão; Brazilian Symposium on Bioinformatics - BSB (12. 2019 Fortaleza)

Lecture Notes in Bioinformatics - LNBI Cham : Springer v. 11347, p. 29-40, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2997074 )(Acessar)

5
Computational approaches for the discovery of significant genes in cancer
Computational approaches for the discovery of significant genes in cancer
Material Type:
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Computational approaches for the discovery of significant genes in cancer

Cutigi, Jorge Francisco

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2021-07-27

Acesso online

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Deste Autor:

  1. Cutigi, J
  2. Simão, A
  3. Evangelista, A
  4. Brazilian Symposium on Bioinformatics - BSB
  5. Ramos, R

Neste Assunto:

  1. Neoplasias
  2. Bioinformática
  3. Genômica
  4. Aprendizado Computacional
  5. Redes Complexas

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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