Scholarship 20/10329-3 - Biologia computacional, Aprendizado computacional - BV FAPESP
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Bayesian model selection of cell signaling pathways and designing of cell growth classifiers

Grant number: 20/10329-3
Support Opportunities:Scholarships in Brazil - Technical Training Program - Technical Training
Start date: November 01, 2020
End date: April 30, 2022
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Marcelo da Silva Reis
Grantee:Cássia Sampaio Sanctos
Host Institution: Instituto Butantan. Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil
Associated research grant:19/21619-5 - Finding the Goldilocks zones of cell signaling pathways in cancer therapy, AP.R
News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(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)
MONTONI, FABIO; DE SOUSA, RONALDO N.; DE LIMA JUNIOR, MARCELO B.; CAMPOS, CRISTIANO G. S.; WANG, WILLIAN; CONSTANTINO, VIVIAN M.; SANCTOS, CASSIA S.; ARMELIN, HUGO A.; REIS, MARCELO S.; IEEE. Anguix: Cell Signaling Modeling Improvement through Sabio-RK association to Reactome. 2022 IEEE 18TH INTERNATIONAL CONFERENCE ON E-SCIENCE (ESCIENCE 2022), v. N/A, p. 2-pg., . (20/08555-5, 13/07467-1, 21/04355-4, 20/10329-3, 19/24580-2, 19/21619-5)