The following publications are possibly variants of this publication:
- Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation ExtractionBernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan. cibcb 2007: 317-322 [doi]
- Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information ExtractionBernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan. bibe 2007: 379-386 [doi]
- FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information DiscoveryBernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan. bibe 2006: 20-26
- Novel efficient granular computing models for protein sequence motifs and structure information discoveryBernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan. ijcbdd, 2(2):168-186, 2009. [doi]
- Mining Positional Association Super-Rules on Fixed-Size Protein Sequence MotifsBernard Chen, Sinan Kockara. bibe 2009: 1-8 [doi]