Computational Intelligence for Genomics Data

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

• Publisher: Academic Press
• Year: 2025
• eBook ISBN: 9780443300813
• Edition: 0
• Topic: Computer Science
• Subtopic: Data Processing
• Index: Computer Science

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. - Provides comparative analysis of machine learning and deep learning methods in the analysis of genomic data, discussing 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

Table of contents

• Front Cover
• Computational Intelligence for Genomics Data
• Copyright Page
• Contents
• List of contributors
• About the editors
• Preface
• Acknowledgment
• 1 Introduction to biological data and analysis
• 2 Traditional machine learning models for gene selection and classification
• 3 Deep learning models for gene selection and classification
• 4 Gene selection and classification using artificial intelligence-based optimization methods
• 5 Explainable AI for computational biology
• 6 Applications of computational biology in health
• Index
• Back Cover