Cantitate/Preț
Produs
Total produse
Vezi coșul
Analysis of Microarray Gene Expression Data de Mei-Ling Ting Lee

Analysis of Microarray Gene Expression Data

Autor Mei-Ling Ting Lee
en Limba Engleză Hardback – 29 apr 2004
After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 92488 lei  6-8 săpt.
  Springer Us – 30 mai 2013 92488 lei  6-8 săpt.
Hardback (1) 93773 lei  6-8 săpt.
  Springer Us – 29 apr 2004 93773 lei  6-8 săpt.

Preț: 93773 lei

Preț vechi: 114358 lei
-18% Nou

Puncte Express: 1407
Preț estimativ în valută:
17952€ • 18660$ • 14884£

Carte tipărită la comandă

Livrare economică 06-20 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780792370871
ISBN-10: 0792370872
Pagini: 377
Ilustrații: XVI, 377 p. 18 illus.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.78 kg
Ediția:2004
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States

Public țintă

Research

Descriere

After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.

Cuprins

Part I: Genome Probing Using Microarrays. 1. Introduction. 2. DNA, RNA, Proteins, and Gene Expression. 3. Microarray Technology. 4. Inherent Variability in Array Data. 5. Background Noise. 6. Transformation and Normalization. 7. Missing Values in Array Data. 8. Saturated Intensity Readings. Part II: Statistical Models and Analysis. 9. Experimental Design. 10. ANOVA Models for Microarray Data. 11. Multiple Testing in Microarray Studies. 12. Permutation Tests in Microarray Data. 13. Bayesian Methods for Microarray Data. 14. Power and Sample Size Considerations. Part III: Unsupervised Exploratory Analysis. 15. Cluster Analysis. 16. Principal Components and Singular Value Decomposition. 17. Self-organizing Maps. Part IV: Supervised Learning Methods. 18. Discrimination and Classification. 19. Artificial Neural Networks. 20. Support Vector Machines.

Recenzii

From the reviews:
"This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. … the book contains an elaborate discussion on several variants of useful ANOVA models. … Standard multiple testing and permutation methods are well illustrated. … In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references." (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006)