1. The analysis of gene expression data: an overview of methods and software -- 2. Visualization and annotation of genomic experiments -- 3. Bioconductor R packages for exploratory analysis and normalization of cDNA microarray data -- 4. An R package for analyses of affymetrix oligonucleotide arrays -- 5. DNA-chip analyzer (dChip) -- 6. Expression profiler -- 7. An S-PLUS library for the analysis and visualization of differential expression -- 8. DRAGON and DRAGON View: methods for the annotation, analysis, and visualization of large-scale gene expression data -- 9. SNOMAD: biologist-friendly web tools for the standaedization and normalization of microarray data -- 10. Microarray analysis using the MicroArray explorer -- 11. Parametric empirical bayes methods for microarrays -- 12. SAM thresholding and false discovery rates for detecting differential gene expression in DNA microarrays -- 13. Adaptive gene picking with microarray data: detecting important low abundance signals -- 14. MAANOVA: a software package for the analysis of spotted cDNA microarray experiments -- 15. GeneClust -- 16. POE: statistical methods for qualitative analysis of gene expression -- 17. Bayesian decomposition -- 18. Bayesian clustering of gene expression dynamics -- 19. Relevance networks: a first step toward finding genetic regulatory networks within microarray data

Chulalinet's Book Delivery Request