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Robert Gentleman - Bioinformatics and Computational Biology Solutions Using R and Bioconductor - 9780387251462 - V9780387251462
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Bioinformatics and Computational Biology Solutions Using R and Bioconductor

€ 286.04
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Description for Bioinformatics and Computational Biology Solutions Using R and Bioconductor Hardcover. A full four-color book that illustrates publicly available data and includes worked case studies. Editor(s): Gentleman, Robert; Carey, Vincent P.; Huber, Wolfgang; Irizarry, Rafael A.; Dudoit, Sandrine. Series: Statistics for Biology and Health. Num Pages: 494 pages, 128 colour illustrations, biography. BIC Classification: PS; U. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 165 x 35. Weight in Grams: 974.

Bioconductor is a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology. Bioconductor is rooted in the open source statistical computing environment R.

This volume's coverage is broad and ranges across most of the key capabilities of the Bioconductor project, including importation and preprocessing of high-throughput data from microarray, proteomic, and flow cytometry platforms:

Curation and delivery of biological metadata for use in statistical modeling and interpretation

Statistical analysis of high-throughput data, including machine learning and visualization

Modeling and visualization of graphs and networks

... Read more

Product Details

Format
Hardback
Publication date
2005
Publisher
Springer-Verlag New York Inc. United States
Number of pages
494
Condition
New
Series
Statistics for Biology and Health
Number of Pages
474
Place of Publication
New York, NY, United States
ISBN
9780387251462
SKU
V9780387251462
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Bioinformatics and Computational Biology Solutions Using R and Bioconductor
From the reviews: "The book has several nice touches that readers will appreciate. First, the liberal use of color shows the full capabilities of Bioconductor pakages and brings the material to life. Second, color figures are dispersed throughout the text rather than being relegated to a central section of color plates. Third, the index indicates whether a term ... Read more

Goodreads reviews for Bioinformatics and Computational Biology Solutions Using R and Bioconductor


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