CNNC: a common nearest neighbour clustering approach for gene expression data
by Mausumi Goswami, Rosy Sarmah, D.K. Bhattacharyya
International Journal of Computational Vision and Robotics (IJCVR), Vol. 2, No. 2, 2011

Abstract: We present an effective common nearest neighbour-based clustering technique (CNNC) for finding clusters over gene expression data. CNNC attempts to find all the clusters over gene expression data qualitatively. Our algorithm works by finding clusters using a nearest neighbour-based approach. A regulation-based module for finding sub clusters is also presented here. CNNC was tested on several real-life datasets and the effectiveness is established in terms of well known z-score measure and p-value over several real-life datasets. Using z-score analysis we show that CNNC outperforms other comparable algorithms. The p-value analysis shows that our technique is capable in detecting biologically relevant clusters from gene expression data.

Online publication date: Fri, 02-Sep-2011

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