Analyzing Microarray Gene Expression Data

Description

Emphasis on clustering of data of gene tissues
* Includes new research findings and activities in molecular biology
* Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both

This review of methodologies for analyzing DNA microarray data is aimed at biostatisticians entering the field of microarray gene expression and biologists conducting statistical analyses of their own experimental data. Using an interdisciplinary approach, McLachlan (statistics, U. of Queensland), Do (biostatistics, U. of Texas) and Ambroise (Université, de Technologie de Compiègne, France) focus on tools and procedures for achieving reliable, reproducible results. They also cover the biology and technology underlying microarray experiments, as well as data cleaning and normalization.

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1. Ebooks list page : 3315
2. Analyzing Microarray Gene Expression Data (2004)
3. Microarray Gene Expression Data Analysis
4. Advanced Analysis of Gene Expression Microarray Data (2006)
5. Analysis of Microarray Gene Expression Data (Trends in Logic S.)
6. Statistical Analysis of Gene Expression Microarray Data by Terry Speed
7. Statistical Analysis of Gene Expression Microarray Data by Terry Speed
8. Advanced Analysis of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics)
9. The Analysis of Gene Expression Data
10. Bayesian Analysis of Gene Expression Data (Statistics in Practice)
11. DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling
12. Gene Expression Systems: Using Nature for the Art of Expression (1999)
13. Gene Expression and Regulation
14. Analysing Gene Expression
15. Gene Expression Technology
16. Translational Control of Gene Expression