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Microarray classification with hierarchical data representation and novel feature selection criteria.

, , , and . BIBE, page 344-349. IEEE Computer Society, (2012)

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Morphological tools for segmentation : connected filters and watersheds., , , and . Ann. des Télécommunications, 52 (7-8): 367-379 (1997)Microarray classification with hierarchical data representation and novel feature selection criteria., , , and . BIBE, page 344-349. IEEE Computer Society, (2012)Hierarchical clustering combining numerical and biological similarities for gene expression data classification., , , and . EMBC, page 584-587. IEEE, (2013)Ensemble learning and hierarchical data representation for microarray classification., , , and . BIBE, page 1-4. IEEE Computer Society, (2013)NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference., , , , and . BMC Bioinform., (2015)Feature set enhancement via hierarchical clustering for microarray classification., , , and . GENSiPS, page 226-229. IEEE, (2011)Maximum likelihood factor analysis in malaria cytokines analysis and modelling.. GENSiPS, page 1-4. IEEE, (2009)Study of Normalization and Aggregation Approaches for Consensus Network Estimation., , , and . SSCI, page 1081-1086. IEEE, (2015)Antiextensive connected operators for image and sequence processing., , and . IEEE Trans. Image Processing, 7 (4): 555-570 (1998)Multiclass cancer-microarray classification algorithm with pair-against-all redundancy., , , and . GENSiPS, page 111-112. IEEE, (2012)