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Revision of the variational Bayesian method for uncovering genes regulatory network.

, , , and . GENSiPS, page 206-209. IEEE, (2011)

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Microarray Time Series Modeling and Variational Bayesian Method for Reverse Engineering Gene Regulatory Networks., , , and . SPIT, volume 117 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 70-75. Springer, (2012)Relation between principal components and endmembers in hyperspectral images., , , and . IGARSS, page 1787-1789. IEEE, (2011)On tool wear estimation through neural networks., , and . ICNN, page 2359-2363. IEEE, (1997)CODEX: a next-generation sequencing experiment database for the haematopoietic and embryonic stem cell communities., , , , , , , , and . Nucleic Acids Res., 43 (Database-Issue): 1117-1123 (2015)Basis-expansion factor models for uncovering transcription factor regulatory network., , , and . SSP, page 700-703. IEEE, (2012)Revision of the variational Bayesian method for uncovering genes regulatory network., , , and . GENSiPS, page 206-209. IEEE, (2011)A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data., , , , and . Bioinform., 34 (6): 964-970 (2018)Bayesian sparse factor model for transcriptional regulatory networks inference., , , , and . EUSIPCO, page 1-4. IEEE, (2013)Early protein energy malnutrition impacts life-long developmental trajectories of the sources of EEG rhythmic activity., , , , , , , , , and 11 other author(s). NeuroImage, (2022)