Applications of Deep Learning in Genomics
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Applications of Deep Learning in Genomics

Applications of Deep Learning in Genomics


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About the Book

The objective of "Deep Learning's Expedition into Genomic Revelations" is to use advanced deep learning techniques to unlock the complexities of genomic data, reveal hidden patterns, improve our understanding of genetic contributions to diseases, speed up drug discovery processes, illuminate evolutionary trajectories, and dealing with the challenges posed by large genomic datasets. This expedition aims to address ethical concerns, demonstrate real-world applications, investigate future frontiers like as quantum computing and multi-omics integration, and present a thorough picture of the genetic environment. The main objective is to enhance genomics, allowing for more precise forecasts, personalized therapies, and a better understanding of the underlying genetic fabric that defines life.

Table of Contents:
1) Introduction: Genomic Landscape & Deep Learning Rise 2) Unraveling Genetic Code: Basics & Deep Learning Role 3) Genomic Data Deluge: Handling Big Data with DL 4) Mining Biological Gold: DL in Disease, Drug, Evolution Insights 5) Navigating Genome: Neural Networks, Transfer Learning, Explainability 6) Ethical Considerations: Privacy, Fairness, Bias in Genomic Data 7) Blockchain Integration in Genomic Deep Learning: Securing, Validating, and Sharing Genetic Insights 8) Future Horizons: Multi-Omics, Quantum Computing, Collaboration 9) Case Studies: Real-world Apps, Lessons 10) Challenges & Opportunities: Technical Hurdles, Robust Models 11) Conclusion: Recap & Genomic Frontier Ahead

About the Author :
Bipin Kumar Rai is a Professor in the Department of Computer Science & Engineering, Dayanand Sagar University, Bangalore. He has a PhD from Banasthali University, Rajasthan and M. Tech (CSE) from RGPV Bhopal & B. Tech (CSE) from UPTU Lucknow, India. Dr. Bipin Kumar Rai has 20+ years teaching experience in renowned institutions. He has been actively involved in various academic and administrative roles. His interests include Information security, ML and blockchain. He has published 50+ research papers in WoS/Scopus indexed journals/conferences, 5 books and 5 patents. He has worked as an Editor/Reviewer of several SCI/Scopus indexed journals and as a session chair/TPC member in several conferences. Rupa Rani is an Assistant Professor in the Department of CSE at AKG Engineering College, Ghaziabad (India). She has a PhD in Computer Science & Engineering from Banasthali Vidyapith, Rajasthan, and has a MTech in Computer Engineering. She published 20+ research papers indexed in WoS/Scopus journals/conferences. Her research interests include data science, AI, ML and cyber security. Gautam Kumar is an Associate Professor at Manipal University Jaipur, India with the School of Computer Science and Engineering. He has a PhD degree in CSE from Jaypee University of Information Technology, India, and has MTech from RTU, Rajasthan & B.E. from RGPV, Bhopal, MP. His research interests cover cryptography, information security, algorithms, design and analysis of algorithms. He has published 50+ journals/conferences papers indexed in SCI/Scopus, 3 published books and 5 published patents.


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Product Details
  • ISBN-13: 9781032878331
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 234 mm
  • No of Pages: 258
  • Width: 156 mm
  • ISBN-10: 1032878339
  • Publisher Date: 12 Nov 2025
  • Binding: Hardback
  • Language: English
  • Weight: 453 gr


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