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» A Parallel Algorithm for Gene Expressing Data Biclustering
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109
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BIBE
2004
IEEE
107views Bioinformatics» more  BIBE 2004»
15 years 6 months ago
Enhanced pClustering and Its Applications to Gene Expression Data
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
135
Voted
EVOW
2005
Springer
15 years 8 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
103
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FEGC
2006
107views Biometrics» more  FEGC 2006»
15 years 4 months ago
Biclustering of Gene Expression Data Based on Local Nearness
Jesús S. Aguilar-Ruiz, Domingo S. Rodr&iacu...
61
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BIOINFORMATICS
2007
78views more  BIOINFORMATICS 2007»
15 years 2 months ago
Computing the maximum similarity bi-clusters of gene expression data
Xiaowen Liu, Lusheng Wang
68
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IJDMB
2011
99views more  IJDMB 2011»
14 years 9 months ago
WF-MSB: A weighted fuzzy-based biclustering method for gene expression data
Lien-Chin Chen, Philip S. Yu, Vincent S. Tseng