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Analysis Of Microarray Gene Expression Data by Mei-ling Ting Lee is a mathematics available to read on EtoBox.
What is Analysis Of Microarray Gene Expression Data about?
Table of Contents 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 M
Who reads Analysis Of Microarray Gene Expression Data?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Mei-ling Ting Lee
- Publisher
- Kluwer Academic Publishers
- Published
- 2004
- Language
- EN
- ISBN
- 9781402077883
- Category
- mathematics
- Subjects
- Mathematics, Medical, Biology
- Updated
- 2026-03-25
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