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Analyzing and learning sparse and scale-free networks using Gaussian graphical models.

, , and . Int. J. Data Sci. Anal., 1 (2): 99-109 (2016)

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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)Structural Risk Minimisation based gene expression profiling analysis., , , and . Int. J. Bioinform. Res. Appl., 3 (2): 153-169 (2007)A novel semi-supervised learning approach to analyzing metagenomic reads., , and . BCB, page 629-630. ACM, (2014)Unsupervised Learning and Image Classification in High Performance Computing Cluster., , , and . ICMLA, page 576-581. IEEE, (2015)INTRODUCTION - The First IEEE Conference on Healthcare Informatics, Imaging, and Systems biology HISB'11., and . J. Bioinform. Comput. Biol., (2011)Machine Learning and Its Applications to Biology., , , , and . PLoS Comput. Biol., (2007)Learning sparse and scale-free networks., , and . DSAA, page 326-332. IEEE, (2014)Analyzing and learning sparse and scale-free networks using Gaussian graphical models., , and . Int. J. Data Sci. Anal., 1 (2): 99-109 (2016)