Computational and Statistical Approaches to Genomics /
Computational and Statistical Approaches to Genomics, 2nd Edition, aims to help researchers deal with current genomic challenges. During the three years after the publication of the first edition of this book, the computational and statistical research in genomics have become increasingly more impor...
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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
2006.
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| Edition: | Second Edition. |
| Subjects: | |
| Online Access: | Connect to this title online |
Table of Contents:
- Microarray Image Analysis and Gene Expression Ratio Statistics
- Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification
- Sources of Variation in Microarray Experiments
- Studentizing Microarray Data
- Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains
- Selecting Informative Genes for Cancer Classification Using Gene Expression Data
- Finding Functional Structures in Ggioma Gene-Expressions Using Gene Shaving Clustering and MDL Principle
- Design Issues and Comparison of Methods for Microarray-Based Classification
- Analyzing Protein Sequences Using Signal Analysis Techniques
- Scale-Dependent Statistics of the Numbers of Transcripts and Protein Sequences Encoded in the Genome
- Statistical Methods in Serial Analysis of Gene Expression (Sage)
- Normalized Maximum Likelihood Models for Boolean Regression with Application to Prediction and Classification in Genomics
- Inference of Genetic Regulatory Networks via Best-Fit Extensions
- Regularization and Noise Injection for Improving Genetic Network Models
- Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations
- Single Nucleotide Polymorphisms and Their Applications
- The Contribution of Alternative Transcription and Alternative Splicing to the Complexity of Mammalian Transcriptomes
- Computational Imaging, and Statistical Analysis of Tissue Microarrays: Quantitative Automated Analysis of Tissue Microarrays.