Analysis of Microarray Gene Expression Data

• Κύριος συγγραφέας: Lee, Mei-Ling Ting (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2004.
• Θέματα: Life sciences.; Cancer research.; Human genetics.; Biochemistry.; Evolutionary biology.; Biomathematics.; Statistics.; Life Sciences.; Biochemistry, general.; Statistics, general.; Mathematical and Computational Biology.; Human Genetics.; Evolutionary Biology.; Cancer Research.

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 o...

Πίνακας περιεχομένων:

• DNA, RNA, Protein, and Gene Expression
• Microarray Technology
• Inherent Variability in Microarray Data
• Background Noise
• Transformation and Normalization
• Missing Values in Microarray Data
• Saturated Intensity Readings in Microarray Data
• Experimental Design
• Anova Models for Michrorray Data
• Multiple Testing in Microarray Studies
• Permutation Tests in Microarray Data
• Bayesian Methods for Microarray Data
• Power and Sample Size Considerations at the Planning Stage
• Cluster Analysis
• Principal Components and Singular Value Decomposition
• Self-organizing Maps
• Discrimination and Classification
• Artificial Neural Networks
• Support Vector Machines.