Making sense of large-scale gene expression data with simple computational techniques

American Biotechnology Laboratory

Volumn 18, Issue 10, 2000, Pages 68-70

  Fuhrman, S ^a   Cunningham, M J ^a   Liang, S ^a   Wen, X ^a   Somogyi, R ^a  

^a Department of Life Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA BASE; GENE EXPRESSION; MATHEMATICAL ANALYSIS;

EID: 0034434315     PISSN: 07493223     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Quantitative monitoring of gene expression patterns with a complementary DNA microarray
2. Serial analysis of gene expression
3. Large-scale temporal gene expression mapping of central nervous system development
4. Gene expression microarray data analysis for toxicology profiling
5. The application of Shannon entropy in the identification of putative drug targets
6. Cluster analysis and data visualization of large-scale gene expression data
7. Templates for looking at gene expression clustering
8. Microarray analysis of Drosophila development during metamorphosis
9. Cluster analysis and display of genome-wide expression patterns
10. Exploring expression data: Identification and analysis of coexpressed genes
11. Genetic network inference: From co-expression clustering to reverse engineering
12. Prediction of gene function by genome-scale expression analysis: Prostate-cancer associated genes