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{ "item_title" : "Computational Intelligence for Genomics Data", "item_author" : [" Babita Pandey", "Valentina Emilia Balas", "Suman Lata Tripathi "], "item_description" : "Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/44/330/080/0443300801_b.jpg", "price_data" : { "retail_price" : "180.00", "online_price" : "180.00", "our_price" : "180.00", "club_price" : "180.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Intelligence for Genomics Data|Babita Pandey

Computational Intelligence for Genomics Data

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Overview

Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.

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Details

  • ISBN-13: 9780443300806
  • ISBN-10: 0443300801
  • Publisher: Academic Press
  • Publish Date: January 2025
  • Dimensions: 10.93 x 8.41 x 0.63 inches
  • Shipping Weight: 1.98 pounds
  • Page Count: 328

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