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Israel Tojal da Silva

CV Lattes ResearcherID ORCID

Fundação Antonio Prudente (FAP). A C Camargo Cancer Center  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

graduate at Ciência da Computação from Universidade Paulista (2001). Has experience in Computer Science, focusing on Core Software, acting on the following subjects: bioinformatics, bioinformática, polybayes, single nucleotide polymorphism (snp) and gene expression. (Source: Lattes Curriculum)

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FAPESP support in numbers * Updated January 22, 2022
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Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (2)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

ROSALES, RAFAEL A.; DRUMMOND, RODRIGO D.; VALIERIS, RENAN; DIAS-NETO, EMMANUEL; DA SILVA, ISRAEL T.. signeR: an empirical Bayesian approach to mutational signature discovery. Bioinformatics, v. 33, n. 1, p. 8-16, . Web of Science Citations: 19. (14/26897-0, 15/19324-6)

VALIERIS, RENAN; AMARO, LUCAS; BUENO DE TOLEDO OSORIO, CYNTHIA APARECIDA; BUENO, ADRIANA PASSOS; ROSALES MITROWSKY, RAFAEL ANDRES; CARRARO, DIRCE MARIA; NUNES, DIANA NORONHA; DIAS-NETO, EMMANUEL; DA SILVA, ISRAEL TOJAL. Deep Learning Predicts Underlying Features on Pathology Images with Therapeutic Relevance for Breast and Gastric Cancer. CANCERS, v. 12, n. 12, . Web of Science Citations: 0. (15/19324-6, 14/26897-0)

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