Computational and Statistical Approaches to Genomics /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2006.
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| Edición: | 2nd ed. 2006. |
| Materias: |
Tabla de Contenidos:
- 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.