Statistical Methods for Microarray Data Analysis : Methods and Protocols /
| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2013.
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| Edición: | 1st ed. 2013. |
| Colección: | Methods in Molecular Biology,
972 |
| Materias: |
Tabla de Contenidos:
- What Statisticians Should Know About Microarray Gene Expression Technology
- Where Statistics and Molecular Microarray Experiments Biology Meet
- Multiple Hypothesis Testing: A Methodological Overview
- Gene Selection with the d-sequence Method
- Using of Normalizations for Gene Expression Analysis
- Constructing Multivariate Prognostic Gene Signatures with Censored Survival Data
- Clustering of Gene-Expression Data via Normal Mixture Models
- Network-based Analysis of Multivariate Gene Expression Data
- Genomic Outlier Detection in High-throughput Data Analysis
- Impact of Experimental Noise and Annotation Imprecision on Data Quality in Microarray Experiment
- Aggregation Effect in Microarray Data Analysis
- Test for Normality of the Gene Expression Data.