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Recurrent Neuro-fuzzy Network Models for Reverse Engineering Gene Regulatory Interactions.

, , and . CompLife, volume 3695 of Lecture Notes in Computer Science, page 24-34. Springer, (2005)

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Semi Supervised Fuzzy Clustering Networks for Constrained Analysis of Time-Series Gene Expression Data., , and . ICANN (2), volume 4132 of Lecture Notes in Computer Science, page 818-826. Springer, (2006)Gene regulatory networks modelling using a dynamic evolutionary hybrid., , and . BMC Bioinform., (2010)Supervised method for construction of microRNA-mRNA networks: Application in cardiac tissue aging dataset., , , , and . EMBC, page 318-321. IEEE, (2014)Revealing the dynamic modularity of composite biological networks in breast cancer treatment., , , , , and . EMBC, page 5432-5436. IEEE, (2012)An Ensemble Approach for Phenotype Classification Based on Fuzzy Partitioning of Gene Expression Data., , and . EMBC, page 5834-5837. IEEE, (2006)A semi-supervised fuzzy clustering algorithm applied to gene expression data.. Pattern Recognit., 45 (1): 637-648 (2012)Gene Ontology Semi-supervised Possibilistic Clustering of Gene Expression Data., , and . SETN, volume 7297 of Lecture Notes in Computer Science, page 262-269. Springer, (2012)Recurrent Neuro-fuzzy Network Models for Reverse Engineering Gene Regulatory Interactions., , and . CompLife, volume 3695 of Lecture Notes in Computer Science, page 24-34. Springer, (2005)K-Nets: Clustering through nearest neighbors networks., , , and . Pattern Recognit., (2019)An in silico method for detecting overlapping functional modules from composite biological networks., , and . BMC Syst. Biol., (2008)