Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rodrigo Henrique Ramos"'
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e27278- (2024)
Protein-Protein Interaction Networks aim to model the interactome, providing a powerful tool for understanding the complex relationships governing cellular processes. These networks have numerous applications, including functional enrichment, discove
Externí odkaz:
https://doaj.org/article/6288991348144cdc968b9cab46f83809
Publikováno v:
Anais do XXII Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2022).
Brazil has a nationwide surveillance repository of severe acute respiratory disease for hospitalized patients. This repository has stored data for 1,177,151 hospitalized and ICU COVID-19 patients in 2021. In order to statistically validate the differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::750725f866affb912075a6fe72d2b808
https://doi.org/10.5753/sbcas.2022.222445
https://doi.org/10.5753/sbcas.2022.222445
Autor:
Adenilso Simao, Rodrigo Henrique Ramos, Jorge Francisco Cutigi, Cynthia de Oliveira Lage Ferreira
Publikováno v:
Advances in Bioinformatics and Computational Biology ISBN: 9783030918132
Cancer is a complex disease caused by genetic mutations categorized into two groups: passenger and driver. Contrary to passenger, drivers mutations directly impact oncogenesis. Drivers identification is a challenge in cancer genomics, frequently supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf2aacc3abc33d93bb3d699e0f1565f
https://doi.org/10.1007/978-3-030-91814-9_3
https://doi.org/10.1007/978-3-030-91814-9_3
Autor:
Cynthia de Oliveira Lage Ferreira, Renato Feijo Evangelista, Adriane Feijó Evangelista, André C. P. L. F. de Carvalho, Rodrigo Henrique Ramos, Jorge Francisco Cutigi, Adenilso Simao
Publikováno v:
Advances in Bioinformatics and Computational Biology ISBN: 9783030657741
BSB
BSB
An increasing interest in Cancer Genomics research emerged from the advent and widespread use of next-generation sequencing technologies, which have generated a large amount of digital biological data. However, not all of this information in fact con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df7280e97dc8a750a6086dedd60bd4b8
https://doi.org/10.1007/978-3-030-65775-8_8
https://doi.org/10.1007/978-3-030-65775-8_8