Discovering local structure in gene expression data: The order-preserving submatrix problem

Proceedings of the Annual International Conference on Computational Molecular Biology, RECOMB

Volumn , Issue , 2002, Pages 49-57

  Ben Dor, Amir ^a   Chor, Benny ^a   Karp, Richard ^a   Yakhini, Zohar ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DNA; GRAPH THEORY; MATRIX ALGEBRA; PROBABILITY; RNA; SET THEORY;

GENE EXPRESSION DATA; ORDER-PRESERVING SUBMATRIX PROBLEM;

GENES;

EID: 0036375743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
2. Gene expression it's all in your mine
3. Class discovery in gene expression data
4. Clustering gene expression patterns
5. Molecular classification of cutaneous malignant melanoma by gene expression profiling
6. Analysis of expression patterns: The scope of the problem, the problem of scope
7. Cluster analysis and display of genome-wide expression patterns
8. Making the most of microarray data
9. Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
10. Gene-expression profiles in hereditary breast cancer
11. Plaid models for gene expression data
12. Click: A clustering algorithm with applications to gene expression analysis
13. Comprehensive identification of cell cycle-regulated genes of the yeast saccharomyces cerevisiae by microarray hybridization
14. Cliff: Clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts