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A Fast Algorithm for Gene Expressing Data Biclustering

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3 Author(s)
Liu Wei ; Inst. of Inf. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing ; Chen Ling ; Qin Ling

A biclustering algorithm for gene expressing data is presented. Based on the anti-monotones property of the quality of the data sets with their sizes, the algorithm can get the final biclusters by gradually adding columns and rows on the data sets. Experimental results show that our algorithm has higher processing speed and quality of clustering than other similar algorithms.

Published in:

Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on  (Volume:1 )

Date of Conference:

3-4 Aug. 2008