A Biclustering Algorithm Based on PA Index in Microarray Gene Expression Data

doi:10.3969/j.issn.1006-2475.2014.12.003

Abstract

Abstract: To improve the global quality of the outcome of the biclustering, a biclustering algorithm based on PA index was proposed. In this algorithm, the PA index which can estimate the effect of outcome of the biclustering was chosen to construct the bicluster model. Through deleting or inserting rows and columns in the heuristic greedy fashion, the algorithm obtained the significant biclusters of high global quality. To compare the performance of the algorithm with CC and FLOC, a real dataset experiment was simulated. The result shows that the algorithm in this paper can obtain better results. In a word, the algorithm is capable of detecting potentially statistically and biologically significant biclusters.

Key words: PA index, biclustering, GO analysis, microarray gene expression data

CLC Number:

TP391

LIN Qin1, LIN Si-da2, ZHU Wen-min1. A Biclustering Algorithm Based on PA Index in Microarray Gene Expression Data[J]. Computer and Modernization, 2014, 0(12): 11-14.

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