[PDF] Deep Learning in Bioinformatics: Techniques and Applications in Practice

$19.99

Explore Deep Learning in Bioinformatics by Habib Izadkhah (2022). Learn AI techniques for drug discovery, genomics, and protein analysis in this 380-page PDF.

Deep Learning in Bioinformatics: Techniques and Applications in Practice (PDF eBook)
Author: Habib Izadkhah
Publisher: Elsevier | Year: 2022
Pages: 380 | Language: English
ISBN: 9780128238226 | Format: PDF (6.67 MB)

Discover how deep learning is transforming modern bioinformatics with Deep Learning in Bioinformatics: Techniques and Applications in Practice. This comprehensive eBook introduces key concepts in an easy-to-understand way and demonstrates how artificial intelligence can solve real-world biological problems.

The book covers essential applications such as:

  • Drug discovery and molecular design

  • DNA and protein sequence analysis

  • Protein structure prediction

  • Gene expression regulation

  • Biomedical image processing and diagnosis

  • Biomolecule interaction prediction

  • Systems biology and protein classification

Dr. Habib Izadkhah combines theory with practical insights, making this resource ideal for researchers, students, and professionals in bioinformatics, genetics, and computational biology. The book also highlights current challenges and future research directions in the field.

Key Features:

  • Beginner-friendly introduction to deep learning

  • Real-world bioinformatics applications

  • State-of-the-art AI algorithms

  • Overview of deep learning libraries for biological research

Download the PDF version and gain practical knowledge on how deep learning is reshaping bioinformatics.

https://youtu.be/HthLdK6EU5Y