André Fujita
Orcid: 0000-0002-7756-7051
According to our database1,
André Fujita
authored at least 43 papers
between 2006 and 2023.
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Bibliography
2023
A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification.
J. Bioinform. Comput. Biol., August, 2023
A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity.
J. Complex Networks, February, 2023
Spectrum-Based Statistical Methods for Directed Graphs with Applications in Biological Data.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2023
2022
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms.
Frontiers Comput. Neurosci., 2022
2021
Efficient Laplacian spectral density computations for networks with arbitrary degree distributions.
Netw. Sci., 2021
Inf. Sci., 2021
Granger Causality among Graphs and Application to Functional Brain Connectivity in Autism Spectrum Disorder.
Entropy, 2021
Spectral density of random graphs: convergence properties and application in model fitting.
J. Complex Networks, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates.
CoRR, 2020
J. Complex Networks, 2020
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
2017
Comput. Stat. Data Anal., 2017
2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2014
Comput. Stat. Data Anal., 2014
A comparative study of statistical methods used to identify dependencies between gene expression signals.
Briefings Bioinform., 2014
2013
Measuring network's entropy in ADHD: A new approach to investigate neuropsychiatric disorders.
NeuroImage, 2013
Bioinform., 2013
2012
Discriminating different classes of biological networks by analyzing the graphs spectra distribution
CoRR, 2012
BMC Syst. Biol., 2012
Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing.
BMC Genom., 2012
2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
2010
Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for fMRI data analysis.
NeuroImage, 2010
J. Bioinform. Comput. Biol., 2010
Model-free unsupervised gene set screening based on information enrichment in expression profiles.
Bioinform., 2010
A fast and robust statistical test based on likelihood ratio with Bartlett correction to identify Granger causality between gene sets.
Bioinform., 2010
Granger Causality in Systems Biology: Modeling Gene Networks in Time Series Microarray Data Using Vector Autoregressive Models.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2010
2009
Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction.
NeuroImage, 2009
Corrigendum to "Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction": [NeuroImage 46 (2009) 105-114].
NeuroImage, 2009
Comparing Pearson, Spearman and Hoeffding's d Measure for Gene Expression Association Analysis.
J. Bioinform. Comput. Biol., 2009
Recursive regularization for inferring gene networks from time-course gene expression profiles.
BMC Syst. Biol., 2009
BMC Bioinform., 2009
2008
NeuroImage, 2008
J. Bioinform. Comput. Biol., 2008
Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostates.
BMC Syst. Biol., 2008
2007
Modeling gene expression regulatory networks with the sparse vector autoregressive model.
BMC Syst. Biol., 2007
BMC Bioinform., 2007
Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method.
Bioinform., 2007
2006