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

, , и . CompLife, том 3695 из Lecture Notes in Computer Science, стр. 24-34. Springer, (2005)

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Ioannis Filippis

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Semi Supervised Fuzzy Clustering Networks for Constrained Analysis of Time-Series Gene Expression Data., , и . ICANN (2), том 4132 из Lecture Notes in Computer Science, стр. 818-826. Springer, (2006)Gene regulatory networks modelling using a dynamic evolutionary hybrid., , и . BMC Bioinform., (2010)Revealing the dynamic modularity of composite biological networks in breast cancer treatment., , , , , и . EMBC, стр. 5432-5436. IEEE, (2012)Supervised method for construction of microRNA-mRNA networks: Application in cardiac tissue aging dataset., , , , и . EMBC, стр. 318-321. IEEE, (2014)A semi-supervised fuzzy clustering algorithm applied to gene expression data.. Pattern Recognit., 45 (1): 637-648 (2012)An Ensemble Approach for Phenotype Classification Based on Fuzzy Partitioning of Gene Expression Data., , и . EMBC, стр. 5834-5837. IEEE, (2006)Gene Ontology Semi-supervised Possibilistic Clustering of Gene Expression Data., , и . SETN, том 7297 из Lecture Notes in Computer Science, стр. 262-269. Springer, (2012)Growing functional modules from a seed protein via integration of protein interaction and gene expression data., , и . BMC Bioinform., (2007)Recurrent Neuro-fuzzy Network Models for Reverse Engineering Gene Regulatory Interactions., , и . CompLife, том 3695 из Lecture Notes in Computer Science, стр. 24-34. Springer, (2005)An in silico method for detecting overlapping functional modules from composite biological networks., , и . BMC Syst. Biol., (2008)