Computational Intelligence for Genomics Data

Name: Computational Intelligence for Genomics Data
Brand: Elsevier Science
SKU: 9780443300806
Price: 190.78 EUR
Availability: InStock

Autor: Babita Pandey, Valentina Emilia Balas, Suman Lata Tripathi, Devendra Kumar Pandey, Mufti Mahmud

Jazyk:

Väzba: Brožovaná

Vydavateľ: Elsevier Science

Dostupnosť: Skladom u dodávateľa

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190.78 €

Computational Intelligence for Genomics Data presents a comprehensive overview of machine learning a...

Informácie o knihe

Autor

Babita Pandey, Valentina Emilia Balas, Suman Lata Tripathi, Devendra Kumar Pandey, Mufti Mahmud

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2025

Stránok

300

EAN

9780443300806

ISBN

0443300801

Enbook ID

46090306

Vydavateľ

Elsevier Science

Hmotnosť

450

Rozmery

191 x 235

Kompletný popis

Computational Intelligence for Genomics Data presents a comprehensive 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. The book includes the design, algorithms and simulations on MATLAB and Python for the larger prediction models. It also explores the possibilities of software and hardware-based applications and devices for genomic disease prediction models by providing case studies and multiple examples. This book will be a helpful resource for researchers, graduate students and professional engineers who are developing new data analysis techniques and prediction models for the analysis of genomics data.

Provides comparative analysis of machine learning and deep learning methods in the analysis of genomic data, discussing the major design challenges, best practices, pitfalls and research potential
Explores machine and deep learning techniques applied to dimensionality reduction, feature extraction, data selection and their application in genomics
Presents case studies of various diseases based on gene microarray expression data including: cancer, liver disorders, neuromuscular disorders, and neurodegenerative disorders

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