DocumentCode :
3325159
Title :
Time-varying microarray data sets: Co-expression detection
Author :
Minz, Sonajharia ; Abughali, Ibrahim K A
Author_Institution :
Sch. of Comput. & Syst. Sci., Jawaharlal Nehru Univ., New Delhi, India
fYear :
2012
fDate :
12-13 Jan. 2012
Firstpage :
43
Lastpage :
46
Abstract :
The scope for improvements in the VCD algorithm [1] has been identified in this paper. The enhancement proposed in this paper considers to eliminate the user inputs for the parameters λ and zp. The base algorithm and the proposed algorithm have been implemented and compared based on the outcomes of the two experiments. The traditional Silhouette coefficient has also been modified as an evaluation parameter. Results of both algorithms are compared by independent t-test. Although no significant difference has been observed in the performances of the base algorithm and the proposed algorithm in the experiment-1, the user need not do parameter setting for the enhanced algorithm. As most clustering algorithms are sensitive to the order of the data input, the results of experiment-2 show that the outcome of the proposed algorithm is not affected by the order of data input. More over the proposed algorithm yields cluster outcomes in hierarchical manner.
Keywords :
biology computing; data mining; pattern clustering; performance evaluation; Silhouette coefficient; VCD algorithm; base algorithm performance enhancement; clustering algorithms; coexpression detection; data mining; time-varying microarray data sets; Algorithm design and analysis; Bioinformatics; Clustering algorithms; Equations; Gene expression; Genomics; Vectors; clustering; coexpression-detection; data mining; microarray;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT and Knowledge Engineering (ICT & Knowledge Engineering), 2011 9th International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4577-2161-8
Type :
conf
DOI :
10.1109/ICTKE.2012.6152411
Filename :
6152411
Link To Document :
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