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Statistical Bioinformatics: For Biomedical and Life Science Researchers
This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets i...
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| Format: | Printed Book |
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Hoboken, N.J
Wiley-Blackwell
2010
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| Series: | Methods of biochemical analysis.
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Table of Contents:
- Road to statistical bioinformatics
- Probability concepts and distributions for analyzing large biological data
- Quality control of high-throughput biological data
- Statistical testing and significance for large biological data analysis
- Clustering : unsupervised learning in large biological data
- Classification : supervised learning with high-dimensional biological data
- Multidimensional analysis and visualization on large biological data
- Statistical models, inference, and algorithms for large biological data analysis
- Experimental designs on high-throughput biological experiments
- Statistical resampling techniques for large biological data analysis
- Statistical network analysis for biological systems and pathways
- Trends and statistical challenges in genomewide association studies
- R and bioconductor packages in bioinformatics : towards systems biology.