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{ "item_title" : "Protein-Protein Interactions and Networks", "item_author" : [" Anna Panchenko", "Teresa M. Przytycka "], "item_description" : "Integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a global view of the diverse data on protein-protein interactions and protein interaction networksProtein-protein interactions and networks: identification, analysis and prediction brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactionsEach chapter contains a description of the problem, a review of methods and algorithms, a list of online resources, conclusions and future directionsOffering broad coverage on the topic, this book will be of interest to researchers from academia and the bioinformatics industry; will also be of use to graduate students studying the topic", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/84/800/124/184800124X_b.jpg", "price_data" : { "retail_price" : "179.99", "online_price" : "179.99", "our_price" : "179.99", "club_price" : "179.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Protein-Protein Interactions and Networks|Anna Panchenko

Protein-Protein Interactions and Networks : Identification, Computer Analysis, and Prediction

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Overview

Integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a global view of the diverse data on protein-protein interactions and protein interaction networks

Protein-protein interactions and networks: identification, analysis and prediction brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactions

Each chapter contains a description of the problem, a review of methods and algorithms, a list of online resources, conclusions and future directions

Offering broad coverage on the topic, this book will be of interest to researchers from academia and the bioinformatics industry; will also be of use to graduate students studying the topic

This item is Non-Returnable

Details

  • ISBN-13: 9781848001244
  • ISBN-10: 184800124X
  • Publisher: Springer
  • Publish Date: September 2008
  • Dimensions: 9.3 x 6.1 x 0.6 inches
  • Shipping Weight: 0.95 pounds
  • Page Count: 212

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