Microarray Gene Expression Data Analysis

Description

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 mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression.
* Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly.
* Short, concise text on this difficult topic area.
* Clear illustrations throughout.
* Written by well-known teachers in the subject.
* Provides insight into how to analyse the data produced from microarrays.

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1. Ebooks list page : 2394
2. Advanced Analysis of Gene Expression Microarray Data (2006)
3. Analysis of Microarray Gene Expression Data (Trends in Logic S.)
4. Statistical Analysis of Gene Expression Microarray Data by Terry Speed
5. Statistical Analysis of Gene Expression Microarray Data by Terry Speed
6. Advanced Analysis of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics)
7. Analyzing Microarray Gene Expression Data
8. Analyzing Microarray Gene Expression Data (2004)
9. The Analysis of Gene Expression Data
10. DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling
11. Bayesian Analysis of Gene Expression Data (Statistics in Practice)
12. DNA Microarray Data Analysis
13. Analysis of Microarray Data
14. Methods of Microarray Data Analysis II
15. Guide to Analysis of DNA Microarray Data
16. A Practical Approach to Microarray Data Analysis