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Feature set enhancement via hierarchical clustering for microarray classification. In IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2011. 2011. pp. 226 -229. (254.44 KB)
. Gene Expression Data Classification Combining Hierarchical Representation and Efficient Feature Selection. Journal of Biological Systems. 2012;20:349-375. (711.35 KB)
. Microarray classification with hierarchical data representation and novel feature selection criteria. In IEEE 12th International Conference on BioInformatics and BioEngineering. Larnaca, Cyprus; 2012. (513.59 KB)
. Multiclass cancer microarray classification algorithm with Pair-Against-All redundancy. In The 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS’12). Washington, DC, USA; 2012.
. Ensemble learning and hierarchical data representation for microarray classification. In 13th IEEE International Conference on BioInformatics and BioEngineering BIBE. Chania, Crete: 13th IEEE International Conference on BioInformatics and BioEngineering,; 2013. (241.56 KB)
. Hierarchical Clustering Combining Numerical and Biological Similarities for Gene Expression Data Classification. In 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13) . Osaka, Japan: IEEE EMBS; 2013. (435.72 KB)
. Efficient combination of pairwise feature networks. JMLR: Workshop and Conference Proceedings . Nancy, France: JMLR: Workshop and Conference Proceedings; 2014;46:77 - 84. (217.39 KB)
. NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference. BMC Bioinformatics. 2015;16. (851.49 KB)
. Study of Normalization and Aggregation Approaches for Consensus Network Estimation. In 2015 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Artificial Life (2015 IEEE ALIFE). Cape Town, South Africa; 2015. (317 KB)
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Differential expression of long non-coding RNAs related to proliferation and histological diversity in follicular lymphomas. British Journal of Haematology. 2019;184(3):373-383. (980.9 KB)
. Unsupervised GRN Ensemble. In Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . New York, NY: Springer science, Humana Press; 2019. pp. 283-302.
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