TY - JOUR ID - 63535 TI - Distribution based Fuzzy Estimate Spectral Clustering for Cancer Detection with Protein Sequence and Structural Motifs JO - Asian Pacific Journal of Cancer Prevention JA - APJCP LA - en SN - 1513-7368 AU - K, Thenmozhi AU - N, Karthikeyani Visalakshi AU - S, Shanthi AD - Department of Computer Applications, Selvam College of Technology, Namakkal, TamilNadu, India. AD - Department of Computer Science, Government Arts and Science College, Kangayam, TamilNadu, India. AD - Department of Computer Applications, Kongu Engineering College, Erode, TamilNadu, India. Y1 - 2018 PY - 2018 VL - 19 IS - 7 SP - 1935 EP - 1940 KW - Protein Sequence Motifs KW - Cancer Detection KW - Distribution Based Spectral Clustering KW - Generalized Jaccard Similarity KW - Soft Computing DO - 10.22034/APJCP.2018.19.7.1935 N2 - Objective: In biological data analysis, protein sequence and structural motifs are an amino-acid sequence patternsthat are widespread and used as tools for detecting the cancer at an earlier stage. To improve the cancer detection withminimum space and time complexity, Distribution based Fuzzy Estimate Spectral Clustering (DFESC) technique isdeveloped. Methods: Initially, the protein sequence motifs are taken from dataset to form the cluster. The Distributionbased spectral clustering is applied to group the protein sequence by measuring the generalized jaccard similaritybetween each protein sequences. To develop the clustering accuracy, soft computing technique namely fuzzy logic isapplied to calculate membership value of each sequence motifs. Results: The outcome showed that the presented DFESCtechnique effectively identifies the cancer in terms of clustering accuracy, false positive rate, and cancer detection timeand space complexity. Conclusion: Based on the observations, evaluation of DFESC technique provides improvedresult for premature detection of cancer using protein sequence and structural motifs. UR - https://journal.waocp.org/article_63535.html L1 - https://journal.waocp.org/article_63535_5e889264c6ff1acd771db74b7e654938.pdf ER -