October 2024
Intermediate to advanced
560 pages
14h 37m
English
book
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
by Shilpa Choudhary, Sandeep Kumar, Swathi Gowroju, Monali Gulhane, R. Sri Lakshmi
Content preview from Genomics at the Nexus of AI, Computer Vision, and Machine Learning
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9Leveraging Deep Learning for Genomics Analysis: Advances and Applications
Nisarg Gandhewar1*, Amit Pimpalkar1, Anuja Jadhav2, Nilesh Shelke3 and Rashmi Jain4
1Department of Computer Science and Engineering (AIML), Shri Ramdeobaba College of Engineering and Management, Nagpur, India
2Department of Information Technology, Pimpri Chinchwad College of Engineering, Pune, India
3Department of Computer Science and Engineering, Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, India
4Department of Computer Science and Engineering, S B Jain Institute of Technology Management & Research, Nagpur, India
Abstract
With its vast and intricate data landscape, genomics has found an invaluable ally in deep learning, a subfield of artificial intelligence that excels at extracting intricate patterns from large datasets. Deep learning has emerged as a transformative force in genomics analysis, offering unparalleled insights into the intricacies of genetic information. This chapter explores the multifaceted landscape of genomics analysis, focusing on integrating deep learning methodologies. The chapter focuses on the following key areas:
- Understanding the profound impact of leveraging deep learning on decoding the complexities embedded within the genome analysis, the significance of advancing genomics research and exploring various genomics data types.
- Explore the state-of-the-art models for genomics analysis from supervised recurrent neural ...
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