5 citations · 17 across the 6 of their papers we have counts for
6 papers
Spectral density of random graphs: convergence properties and application in model fitting
Suzana de Siqueira Santos, André Fujita, Catherine Matias
Random graph models are used to describe the complex structure of real-world networks in diverse fields of knowledge. Studying their behavior and fitting properties are still criti…
Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates
Carlos Relvas, André Fujita
Lung cancer is currently the leading cause of cancer deaths. Among various subtypes, the number of patients diagnosed with stage I non-small cell lung cancer (NSCLC), particularly…
Correlation between graphs with an application to brain networks analysis
André Fujita, Daniel Yasumasa Takahashi, Joana Bisol Balardin +1
The global functional brain network (graph) is more suitable for characterizing brain states than local analysis of the connectivity of brain regions. Therefore, graph-theoretic ap…
A statistical test to identify differences in clustering structures
André Fujita, Daniel Y. Takahashi, Alexandre G. Patriota +1
Statistical inference on functional magnetic resonance imaging (fMRI) data is an important task in brain imaging. One major hypothesis is that the presence or not of a psychiatric…
Discriminating different classes of biological networks by analyzing the graphs spectra distribution
Daniel Yasumasa Takahashi, João Ricardo Sato, Carlos Eduardo Ferreira +1
The brain's structural and functional systems, protein-protein interaction, and gene networks are examples of biological systems that share some features of complex networks, such…
Identification and quantification of Granger causality between gene sets
Andre Fujita, Joao Ricardo Sato, Kaname Kojima +4
Wiener and Granger have introduced an intuitive concept of causality between two variables which is based on the idea that an effect never occurs before its cause. Later, Geweke ha…