The Analysis of Gene Expression Data Methods and Software /
Thedevelopmentoftechnologiesforhigh–throughputmeasurementofgene expression in biological system is providing powerful new tools for inv- tigating the transcriptome on a genomic scale, and across diverse biol- ical systems and experimental designs. This technological transformation is generating an i...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2003.
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| Σειρά: | Statistics for Biology and Health,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- The 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 Analyses 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.
