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{ "item_title" : "Computational Methods with Applications in Bioinformatics Analysis", "item_author" : [" Jeffrey J. P. Tsai", "Ka-Lok Ng "], "item_description" : "This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/81/320/797/9813207973_b.jpg", "price_data" : { "retail_price" : "98.00", "online_price" : "98.00", "our_price" : "98.00", "club_price" : "98.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Methods with Applications in Bioinformatics Analysis|Jeffrey J. P. Tsai

Computational Methods with Applications in Bioinformatics Analysis

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Overview

This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.

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Details

  • ISBN-13: 9789813207974
  • ISBN-10: 9813207973
  • Publisher: World Scientific Publishing Company
  • Publish Date: August 2017
  • Dimensions: 9.1 x 5.8 x 0.8 inches
  • Shipping Weight: 1.2 pounds
  • Page Count: 232

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