Statistical bioinformatics a guide for life and biomedical science researchers için kapak resmi
Statistical bioinformatics a guide for life and biomedical science researchers
Başlık:
Statistical bioinformatics a guide for life and biomedical science researchers
Yazar:
Lee, Jae K. (Jae Kyun)
ISBN:
9780470567647

9780470567630
Yayın Bilgileri:
Hoboken, N.J. : Wiley-Blackwell, c2010.
Fiziksel Tanımlama:
1 online resource (xiv, 350 p., [20] p. of plates) : ill. (some col.)
İçerik:
Frontmatter -- Color Plates -- Road to Statistical Bioinformatics / Jae K Lee -- Probability Concepts and Distributions for Analyzing Large Biological Data / Sooyoung Cheon -- Quality Control of High-Throughput Biological Data / Paul D Williams -- Statistical Testing and Significance for Large Biological Data Analysis / Hyung Jun Cho, Wonseok Seo -- Clustering: Unsupervised Learning in Large Biological Data / Nabil Belacel, Christa Wang, Miroslava Cupelovic-Culf -- Classification: Supervised Learning with High-Dimensional Biological Data / Hongshik Ahn, Hojin Moon -- Multidimensional Analysis and Visualization on Large Biomedical Data / Jinwook Seo, Ben Shneiderman -- Statistical Models, Inference, and Algorithms for Large Biological Data Analysis / Debashis Ghosh, Seungyeoun Lee, Taesung Park -- Experimental Designs on High-Throughput Biological Experiments / Xiangqin Cui -- Statistical Resampling Techniques for Large Biological Data Analysis / Annette M Molinaro, Karen Lostritto -- Statistical Network Analysis for Biological Systems and Pathways / Youngchul Kim, Jae K Lee, Haseong Kim, Annamalai Muthiah, Ginger Davis -- Trends and Statistical Challenges in Genomewide Association Studies / Ning Sun, Hongyu Zhao -- R and Bioconductor Packages in Bioinformatics: Towards Systems Biology / Nolweim LeMeur, Michael Lawrence, Merav Bar, Muneesh Tewari, Robert Gentleman -- Index.

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.
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Elektronik Erişim:
John Wiley http://dx.doi.org/10.1002/9780470567647
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