Suzana Santos

Suzana de Siqueira Santos


About Me

I am a postdoc fellow at PaccanaroLab, FGV-EMAp, Rio de Janeiro. My previous degrees (bachelor, master, and phd in computer science) were obtained at IME-USP, University of São Paulo.

Research interests

I work with network medicine and machine learning approaches applied to Biology. In particular, I am currently working with drug repositioning approaches for COVID-19. During my PhD, I studied properties of random graphs and developed statistical methods for analyzing graphs. Previous applications of our methods include problems involving gene co-expression networks, protein-protein interaction networks and brain functional networks.


Journal Articles

  • Santos SS, Takahashi DY, Nakata A, Fujita A. A comparative study of statistical methods used to identify dependencies between gene expression signals. Briefings in Bioinformatics. 15: 906-918, 2013.

  • Santos SS, Galastro TFA, Watanabe RA, Oba-Shinjo SM, Nagahashi-Marie SK, Fujita A. CoGA: an R package to identify differentially co-expressed gene sets by analyzing the graph spectra. PLoS ONE. 10: 0135831, 2015.

  • Sato JR, Vidal MC, Santos SS, Massirer KB, Fujita A. Complex network measures in Autism Spectrum Disorders. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(2):581-587, 2018.

  • Jardim VC, Santos SS, Fujita A and Buckeridge MS. BioNetStat: A Tool for Biological Networks Differential Analysis. Frontiers in Genetics. 10:594, 2019.

  • Fujita A, Lira ES, Santos SS, Bando SY, Soares GE, Takahashi DY. A semi-parametric statistical test to compare complex networks. Journal of Complex Networks. Volume 8, Issue 2, April 2020, cnz028,

  • Franco YEM, Alves MJ, Uno M, Moretti IF, Trombetta-Lima M, Santos SS, Santos AF, Arini GS, Baptista MS, Lerario AM, Oba-Shinjo SM, Marie SKN. Glutaminolysis dynamics during astrocytoma progression correlates with tumor aggressiveness. Cancer Metab. 9(1):18, 2021

  • Santos SS, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks. Volume 9, Issue 6, December 2021, cnab041,

  • Santos SS, Torres M, Galeano D, Sánchez MM, Cernuzzi L, Paccanaro A. Machine Learning and Network Medicine approaches for Drug Repositioning for COVID-19. Patterns (N Y). 2022 Jan 14;3(1):100396. doi: 10.1016/j.patter.2021.100396.

  • Sacramento CQ, Fintelman-Rodrigues N, Dias SSG, Temerozo JR, Da Silva AdPD, da Silva CS, Blanco C, Ferreira AC, Mattos M, Soares VC, Pereira-Dutra F, Miranda MD, Barreto-Vieira DF, da Silva MAN, Santos SS, Torres M, Chaves OA, Rajoli RKR, Paccanaro, A, Owen A, Bou-Habib, DC, Bozza, PT, Souza, TML. Unlike Chloroquine, Mefloquine Inhibits SARS-CoV-2 Infection in Physiologically Relevant Cells. Viruses 2022, 14, 374.

Book chapters

  • Santos SS, Takahashi DY, Sato JR, Ferreira CE, Fujita. Statistical methods in graphs: parameter estimation, model selection, and test. In: Yongtang Shi, Sueliang Li, Matthias Dehmer (Eds.). Mathematical foundations and applications of graph entropy. Wiley-Blackwell. 6: 183-202, 2016.



R package with statistical tests for comparing gene co-expression networks.

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R package with statistical methods for networks, such as statistical test, parameter estimation, and model selection.

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