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Unsupervised Learning and Image Classification in High Performance Computing Cluster., , , and . ICMLA, page 576-581. IEEE, (2015)A novel semi-supervised learning approach to analyzing metagenomic reads., , and . BCB, page 629-630. ACM, (2014)FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach., , and . BMC Bioinform., 12 (S-12): S3 (2011)Identification of genes involved in the same pathways using a Hidden Markov Model-based approach., and . Bioinform., 25 (22): 2945-2954 (2009)GOAL: the comprehensive gene ontology analysis layer., , and . Sci. China Inf. Sci., 59 (7): 070108:1-070108:8 (2016)Analyzing and learning sparse and scale-free networks using Gaussian graphical models., , and . Int. J. Data Sci. Anal., 1 (2): 99-109 (2016)Learning sparse and scale-free networks., , and . DSAA, page 326-332. IEEE, (2014)Minimum reference set based feature selection for small sample classifications., and . ICML, volume 227 of ACM International Conference Proceeding Series, page 153-160. ACM, (2007)Comparison of One-Class SVM and Two-Class SVM for Fold Recognition., , and . ICONIP (2), volume 4233 of Lecture Notes in Computer Science, page 140-149. Springer, (2006)Large-scale Protein-Protein Interaction prediction using novel kernel methods., , , and . IJDMB, 2 (2): 145-156 (2008)