FGK MODEL : AN EFFICIENT GRANULAR COMPUTING MODEL FOR PROTEIN SEQUENCE MOTIFS INFORMATION DISCOVERY

@inproceedings{Chen2006FGKM,
  title={FGK MODEL : AN EFFICIENT GRANULAR COMPUTING MODEL FOR PROTEIN SEQUENCE MOTIFS INFORMATION DISCOVERY},
  author={Bernard Chen and Phang C. Tai and Robert Harrison and Yi Pan},
  year={2006}
}
Discovering protein sequence motif information is one of the most crucial tasks in bioinformatics research. In this paper, we try to obtain protein recurring patterns which are universally conserved across protein family boundaries. In order to achieve the goal, our dataset is extremely large. Therefore, an efficient technique is required. In this article, short recurring segments of proteins are explored by utilizing a granular computing strategy. First, Fuzzy C-Means clustering algorithm (FCM… CONTINUE READING

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