The Analysis of Gene Expression Data
Springer-Verlag New York Inc.
978-0-387-95577-3 (ISBN)
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.
Reihe/Serie | Statistics for Biology and Health |
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Zusatzinfo | 46 Illustrations, color; 49 Illustrations, black and white; XIX, 456 p. 95 illus., 46 illus. in color. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
ISBN-10 | 0-387-95577-1 / 0387955771 |
ISBN-13 | 978-0-387-95577-3 / 9780387955773 |
Zustand | Neuware |
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