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Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction.

, , , , and . CIBCB, page 317-322. IEEE, (2007)

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Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction., , , , , , and . CSB Workshops, page 224-227. IEEE Computer Society, (2005)Prediction of curling behaviour and final placement of the Contour electrode array within the human cochlea using finite element analysis., and . METMBS, page 212-218. CSREA Press, (2005)Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification., , , , , and . ICMLA, page 565-569. IEEE, (2015)Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction., , , , and . I. J. Functional Informatics and Personalised Medicine, 1 (1): 8-25 (2008)Protein Sequence Motif Information Generated by Fuzzy - Hybrid Hierarchical K-means Clustering Algorithm., , , and . BIOCOMP, page 198-201. CSREA Press, (2010)Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm., , and . BIOCOMP, page 185-190. CSREA Press, (2010)Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis., , and . ICMLA (1), page 370-373. IEEE, (2013)Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images., , , and . BMC Bioinformatics, 11 (S-6): S26 (2010)Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction., , , and . IJDMB, 4 (3): 316-330 (2010)Granular computing in wineinformatics., , , , , and . ICNC-FSKD, page 1228-1232. IEEE, (2017)