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{ "item_title" : "Bioinformatics and Computational Biology Solutions Using R and Bioconductor", "item_author" : [" Robert Gentleman", "Vincent Carey", "Wolfgang Huber "], "item_description" : "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. 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. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/38/725/146/0387251464_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Bioinformatics and Computational Biology Solutions Using R and Bioconductor|Robert Gentleman

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

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Overview

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. 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.

This item is Non-Returnable

Details

  • ISBN-13: 9780387251462
  • ISBN-10: 0387251464
  • Publisher: Springer
  • Publish Date: August 2005
  • Dimensions: 9.34 x 6.32 x 1.22 inches
  • Shipping Weight: 1.81 pounds
  • Page Count: 474

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