fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf

Site Breadcrumb

Verkauf durch Sack Fachmedien

Amaratunga / Cabrera

Exploration and Analysis of DNA Microarray and Protein Array Data

Medium: Buch
ISBN: 978-0-471-27398-1
Verlag: Wiley
Erscheinungstermin: 18.11.2003
Nicht mehr lieferbar
Auf die Merkliste Drucken
Überschrift

Beschreibung

Kostenloser Versand

nach Deutschland, Österreich und in die Schweiz

Bequem zahlen

Rechnung, Kreditkarte, PayPal oder Bankeinzug

Wir sind gerne für Sie da

0800 000-1378 (Inland)
service@fachmedien.de
<<Kontaktformular>>

Fragen

Fragen Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua
Anwtorten

Anwtorten At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet

The emergence of genomics, the study of genes, is one of the major scientific revolutions of this century. Microarrays, a method used to analyze numerous DNA samples rapidly, enables scientists to make sense of this mountain of data using statistical analysis. They are being used in such areas of biomedical research as studying patterns for gene activity that cause cancers to spread. This book presents a comprehensive methodology for analyzing DNA microarray and protein array data.
The most comprehensive treatment of this important emerging field, Exploration and Analysis of DNA Microarray and Protein Array Data includes:

A review of basic molecular biology and a chapter introducing microarrays and their preparation
Chapters on processing scanned images, preprocessing microarray data, group comparative experiments, and other designs
Discussions of clustering, protein arrays, and applications for diagnostic tools
Ample exercises assist absorbtion

Produkteigenschaften

  • Artikelnummer: 9780471273981
  • Medium: Buch
  • ISBN: 978-0-471-27398-1
  • Verlag: Wiley
  • Erscheinungstermin: 18.11.2003
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2003
  • Serie: Wiley Series in Probability and Statistics
  • Produktform: Gebunden
  • Gewicht: 588 g
  • Seiten: 272
  • Format (B x H x T): 162 x 242 x 22 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Autoren

Preface.

1 A Brief Introduction.

1.1 A Note on Exploratory Data Analysis.

1.2 Computing Considerations and Software.

1.3 A Brief Outline of the Book.

2 Genomics Basics.

2.1 Genes.

2.2 DNA.

2.3 Gene Expression.

2.4 Hybridization Assays and Other Laboratory Techniques.

2.5 The Human Genome.

2.6 Genome Variations and Their Consequences.

2.7 Genomics.

2.8 The Role of Genomics in Pharmaceutical Research.

2.9 Proteins.

2.10 Bioinformatics.

Supplementary Reading.

Exercises.

3 Microarrays.

3.1 Types of Microarray Experiments.

3.2 A Very Simple Hypothetical Microarray Experiment.

3.3 A Typical Microarray Experiment.

3.4 Multichannel cDNA Microarrays.

3.5 Oligonucleotide Arrays.

3.6 Bead-Based Arrays.

3.7 Confirmation of Microarray Results.

Supplementary Reading and Electronic References.

Exercises.

4 Processing the Scanned Image.

4.1 Converting the Scanned Image to the Spotted Image.

4.2 Quality Assessment.

4.3 Adjusting for Background.

4.4 Expression Level Calculation for Two-Channel cDNA Microarrays.

4.5 Expression Level Calculation for Oligonucleotide Arrays.

Supplementary Reading.

Exercises.

5 Preprocessing Microarray Data.

5.1 Logarithmic Transformation.

5.2 Variance Stabilizing Transformations.

5.3 Sources of Bias.

5.4 Normalization.

5.5 Intensity-Dependent Normalization.

5.6 Judging the Success of a Normalization.

5.7 Outlier Identification.

5.8 Assessing Replicate Array Quality.

Exercises.

6 Summarization.

6.1 Replication.

6.2 Technical Replicates.

6.3 Biological Replicates.

6.4 Experiments with Both Technical and Biological Replicates.

6.5 Multiple Oligonucleotide Arrays.

6.6 Estimating Fold Change in Two-Channel Experiments.

6.7 Bayes Estimation of Fold Change.

Exercises.

7 Two-Group Comparative Experiments.

7.1 Basics of Statistical Hypothesis Testing.

7.2 Fold Changes.

7.3 The Two-Sample t Test.

7.4 Diagnostic Checks.

7.5 Robust t Tests.

7.6 Randomization Tests.

7.7 The Mann-Whitney-Wilcoxon Rank Sum Test.

7.8 Multiplicity.

7.9 The False Discovery Rate.

7.10 Small Variance-Adjusted t Tests and SAM.

7.11 Conditional t.

7.12 Borrowing Strength across Genes.

7.13 Two-Channel Experiments.

Supplementary Reading.

Exercises.

8 Model-Based Inference and Experimental Design Considerations.

8.1 The F Test.

8.2 The Basic Linear Model.

8.3 Fitting the Model in Two Stages.

8.4 Multichannel Experiments.

8.5 Experimental Design Considerations.

8.6 Miscellaneous Issues.

Supplementary Reading.

Exercises.

9 Pattern Discovery.

9.1 Initial Considerations.

9.2 Cluster Analysis.

9.3 Seeking Patterns Visually.

9.4 Two-Way Clustering.

Software Notes.

Supplementary Reading.

Exercises.

10 Class Prediction.

10.1 Initial Considerations.

10.2 Linear Discriminant Analysis.

10.3 Extensions of Fisher's LDA.

10.4 Nearest Neighbors.

10.5 Recursive Partitioning.

10.6 Neural Networks.

10.7 Support Vector Machines.

10.8 Integration of Genomic Information.

Software Notes.

Supplementary Reading.

Exercises.

11 Protein Arrays.

11.1 Introduction.

11.2 Protein Array Experiments.

11.3 Special Issues with Protein Arrays.

11.4 Analysis.

11.5 Using Antibody Antigen Arrays to Measure Protein Concentrations.

Exercises.

References.

Author Index.

Subject Index.