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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)

News published in Agência FAPESP Newsletter about the researcher
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Scholarships in Brazil
FAPESP support in numbers * Updated January 22, 2022
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Use this Research Supported by FAPESP (BV/FAPESP) channel only to send messages referring to FAPESP-funded scientific projects.


 

 

 

 

Keywords used by the researcher
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)

VENEZIAN POVOA, LUCAS; RIBEIRO, CARLOS HENRIQUE COSTA; DA SILVA, ISRAEL TOJAL. Machine learning predicts treatment sensitivity in multiple myeloma based on molecular and clinical information coupled with drug response. PLoS One, v. 16, n. 7, . (15/19324-6)

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, . (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, . (15/19324-6, 14/26897-0)

POVOA, LUCAS VENEZIAN; BALAN CALVI, URIEL CAIRE; LORENA, ANA CAROLINA; COSTA RIBEIRO, CARLOS HENRIQUE; DA SILVA, ISRAEL TOJAL. A Multi-Learning Training Approach for Distinguishing Low and High Risk Cancer Patients. IEEE ACCESS, v. 9, p. 115453-115465, . (15/19324-6)

BUTTURA, JAQUELINE RAMALHO; PROVISOR SANTOS, MONIZE NAKAMOTO; VALIERIS, RENAN; DRUMMOND, RODRIGO DUARTE; DEFELICIBUS, ALEXANDRE; LIMA, JOAO PAULO; CALSAVARA, VINICIUS FERNANDO; FREITAS, HELANO CARIOCA; CORDEIRO DE LIMA, VLADMIR C.; BARTELLI, THAIS FERNANDA; et al. Mutational Signatures Driven by Epigenetic Determinants Enable the Stratification of Patients with Gastric Cancer for Therapeutic Intervention. CANCERS, v. 13, n. 3, . (15/19324-6, 16/11791-7, 14/26897-0)

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