Paper Title:
MRCluster: Mining Constant Row Bicluster in Gene Expression Data
  Abstract

Biclustering is one of the important techniques for gene expression data analysis. A bicluster is a set of genes coherently expressed for a set of biological conditions. Various biclustering algorithms have been proposed to find biclusters of different types. However, most of them are not efficient. We propose a novel algorithm MRCluster to mine constant row biclusters from real-valued dataset. MRCluster uses Apriori property and several novel pruning techniques to mine biclusters efficiently. We compare our algorithm with a recent approach RAP, and experimental results show that MRCluster is much more efficient than RAP in mining biclusters with constant rows from real-valued gene expression data.

  Info
Periodical
Chapter
Chapter 5: Information Technology
Edited by
Robin G. Qiu and Yongfeng Ju
Pages
628-633
DOI
10.4028/www.scientific.net/AMM.135-136.628
Citation
M. Miao, X. Q. Shang, J. C. Liu, M. Wang, "MRCluster: Mining Constant Row Bicluster in Gene Expression Data", Applied Mechanics and Materials, Vols. 135-136, pp. 628-633, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Lu Na Byon, Jeong Hye Han
Abstract:As electronic commerce progresses, temporal association rules are developed by time to offer personalized services for customer’s interests....
287
Authors: Zhong Ping Zhang, Yong Xin Liang
Abstract:This paper proposes a new data stream outlier detection algorithm SODRNN based on reverse nearest neighbors. We deal with the sliding window...
1032
Authors: Hai Feng Li, Ning Zhang
Chapter 1: Transportation & Service Science
Abstract:Maximal frequent itemsets are one of several condensed representations of frequent itemsets, which store most of the information contained in...
21
Authors: Jun Tan
Chapter 12: Computer-Aided Design and Applications in Industry and Civil Engineering
Abstract:Online mining of frequent closed itemsets over streaming data is one of the most important issues in mining data streams. In this paper, we...
2910
Authors: Hai Yan Wang
Chapter 6: Production Management
Abstract:This paper presents a hybrid algorithm to address the flexible job-shop scheduling problem (FJSP). Based on Differential Evolution (DE), a...
502