Statistical Methods in Molecular Biology /
| Autor Corporativo: | |
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| Otros Autores: | , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Totowa, NJ :
Humana Press : Imprint: Humana,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Methods in Molecular Biology,
620 |
| Materias: |
Tabla de Contenidos:
- Basic Statistics
- Experimental Statistics for Biological Sciences
- Nonparametric Methods for Molecular Biology
- Basics of Bayesian Methods
- The Bayesian t-Test and Beyond
- Designs and Methods for Molecular Biology
- Sample Size and Power Calculation for Molecular Biology Studies
- Designs for Linkage Analysis and Association Studies of Complex Diseases
- to Epigenomics and Epigenome-Wide Analysis
- Exploration, Visualization, and Preprocessing of High-Dimensional Data
- Statistical Methods for Microarray Data
- to the Statistical Analysis of Two-Color Microarray Data
- Building Networks with Microarray Data
- Advanced or Specialized Methods for Molecular Biology
- Support Vector Machines for Classification: A Statistical Portrait
- An Overview of Clustering Applied to Molecular Biology
- Hidden Markov Model and Its Applications in Motif Findings
- Dimension Reduction for High-Dimensional Data
- to the Development and Validation of Predictive Biomarker Models from High-Throughput Data Sets
- Multi-gene Expression-based Statistical Approaches to Predicting Patients' Clinical Outcomes and Responses
- Two-Stage Testing Strategies for Genome-Wide Association Studies in Family-Based Designs
- Statistical Methods for Proteomics
- Meta-Analysis for High-Dimensional Data
- Statistical Methods for Integrating Multiple Types of High-Throughput Data
- A Bayesian Hierarchical Model for High-Dimensional Meta-analysis
- Methods for Combining Multiple Genome-Wide Linkage Studies
- Other Practical Information
- Improved Reporting of Statistical Design and Analysis: Guidelines, Education, and Editorial Policies
- Stata Companion.