This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathemati
Analysis of Microarray Gene Expression Data
โ Scribed by Ting Lee Mei-Ling
- Publisher
- Kluwer Academic Publishers
- Year
- 2004
- Tongue
- English
- Leaves
- 398
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This book is very well written, in great detail and clarity. The title "Advanced" sounds daunting to some intermediate or entry level statisticians, but the math details in the book is very understandable, presented as necessary support in order to understand the explained statistical methods. I wo
Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field. Under the editorship of Terry Speed, some of the world's most pre-eminent authorities have joined forces to present the tools, features, and problems associated with the analysis o
mphasizing underlying concepts and principles, this concise guide describes the design of microarray experiments and the analysis of the data they produce. Intended for graduate students and bioinformatics researchers, the book stresses the conceptual aspects of analysis and keeps mathematical compl
McLachlan is a very well-known statistician who specializes in classification, pattern recognition and mixture distribution models. I was surprised to see him write a book on microarray data. But I shouldn't have been. It turns out that in addition to data processing and statistical design, clust