The analysis of gene expression data : methods and software /
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| Format: | Book |
| Language: | English |
| Published: |
New York :
Springer,
[2003]
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| Series: | Statistics for biology and health.
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| Subjects: |
Table of Contents:
- Analysis of gene expression data : an overview of methods and software
- Visualization and annotation of genomic experiments
- Bioconductor R packages for exploratory analysis and normalization of cDNA microarray data
- An R package for analysis of affymetrix oligonucleotide arrays
- DNA-chip analyzer (dCHIP)
- Expression profiler
- An S-plus library for the analysis and visualization of differential expression
- DRAGON and DRAGON view : methods for the annotation, analysis, and visualization of large-scale gene expression data
- SNOMAD : biologist-friendly web tools for the standardization and NOrmalization of microarray data
- Microarray analysis using the MicroArray explorer
- Parametric empirical bayes methods for microarrays
- SAM thresholding and false discovery rates for detecting differential gene expression in DNA microarrays
- Adaptive gene picking with microarray data : detecting important low abundance signals
- MAANOVA : a software package for the analysis of spotted cDNA microarray experiments
- GeneClust
- POE : statistical methods for qualitative analysis of gene expression
- Bayesian decomposition
- Bayesian clustering of gene expression dynamics
- Relevance networks : a first step toward finding genetic regulatory networks within microarray data