Plaid models for gene expression data

Statistica Sinica

Volumn 12, Issue 1, 2002, Pages 61-86

  Lazzeroni, Laura ^a   Owen, Art ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Microarrays; SVD; Transposable data; Unsupervised learning

Indexed keywords

EID: 0036012349     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

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2. An overview of combinatorial data analysis
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4. Clustering gene expression patterns
5. The transcriptional program of sporulation in budding yeast
6. Exploring the metabolic and genetic control of gene expression on a genomic scale
7. The approximation of one matrix by another of lower rank
8. Cluster analysis and display of genome-wide expression patterns
9. Coupled two-way clustering analysis of gene microarray data
10. Hierarchical classification
11. Cluster analysis and mathematical programming
12. Direct clustering of a data matrix
13. Learning from dyadic data
14. Statistical design and the analysis of gene expression microarrays
15. Analysis of variance for gene expression microarray data
16. A semidiscrete matrix decomposition for latent semantic indexing in information retrieval
17. Learning the parts of objects by non-negative matrix factorization
18. Least-squares structuring, clustering, and data processing issues
19. Automatic classification: Models and problems
20. Additive clustering: Representation of similarities as combinations of discrete overlapping properties
21. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization
22. Issues in cdna microarray analysis: Quality filtering, channel normalization, models of variation and assessment of gene effects
23. Normalization for cdna microarray data