Statistical bioinformatics : a guide for life and biomedical science researchers /
| Other Authors: | |
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| Format: | Book |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley-Blackwell,
[2010]
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| Subjects: |
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.