Searching for "Biclustering of Expression Data." – sorted by Relevance.
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Enhanced Biclustering on Expression Data
- Enhanced Biclustering on Expression Data Jiong Yang Haixun Wang Wei Wang Philip Yu UIUC IBM T. J
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Biclustering of Expression Data
- to set up. Experimental Methods The biclustering algorithms were tested on two sets of expression data
- Cited by 204 (0 self) – Add To MetaCart
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Biclustering of Expression Data with Evolutionary Computation
- JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. XX, XX 1 Biclustering of Expression Data
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Biclustering of expression data using simulated annealing
- Biclustering of Expression Data Using Simulated Annealing ∗ Kenneth Bryan, Pádraig Cunningham
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Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
- Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data S.Y. Kung
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Identification of regulatory modules in time-series gene expression data using a linear time
- Expression Data using a Linear Time Biclustering Algorithm Sara C. Madeira, Miguel C. Teixeira, Isabel Sá
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Gene expression module discovery using gibbs sampling
- efficient approach for bi-clustering gene expression data. Keywords: bi-clustering, gene expression, Gibbs
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A machine learning approach to dna microarray biclustering analysis
- to cluster both genes and conditions in gene expression data – leading to the so-called biclustering analysis
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Microcluster: Efficient deterministic biclustering of microarray data
- Cluster: Efficient Deterministic Biclustering of Microarray Data Lizhuang Zhao and Mohammed J. Zaki, Rensselaer
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Hardness of Approximation of the Balanced Complete Bipartite Subgraph Problem
- those problems for biclustering of expression data of genes. Specifically they create a bipartite graph
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