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Deep Learning for Genomics

You're reading from   Deep Learning for Genomics Data-driven approaches for genomics applications in life sciences and biotechnology

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781804615447
Length 270 pages
Edition 1st Edition
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Author (1):
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Upendra Kumar Devisetty Upendra Kumar Devisetty
Author Profile Icon Upendra Kumar Devisetty
Upendra Kumar Devisetty
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Table of Contents (18) Chapters Close

Preface 1. Part 1 – Machine Learning in Genomics
2. Chapter 1: Introducing Machine Learning for Genomics FREE CHAPTER 3. Chapter 2: Genomics Data Analysis 4. Chapter 3: Machine Learning Methods for Genomic Applications 5. Part 2 – Deep Learning for Genomic Applications
6. Chapter 4: Deep Learning for Genomics 7. Chapter 5: Introducing Convolutional Neural Networks for Genomics 8. Chapter 6: Recurrent Neural Networks in Genomics 9. Chapter 7: Unsupervised Deep Learning with Autoencoders 10. Chapter 8: GANs for Improving Models in Genomics 11. Part 3 – Operationalizing models
12. Chapter 9: Building and Tuning Deep Learning Models 13. Chapter 10: Model Interpretability in Genomics 14. Chapter 11: Model Deployment and Monitoring 15. Chapter 12: Challenges, Pitfalls, and Best Practices for Deep Learning in Genomics 16. Index 17. Other Books You May Enjoy

DL life cycle

The DL life cycle is quite complex as it involves several phases, starting from identifying a business goal to model monitoring (see Figure 9.2). Each phase is driven by the key decision of what, why, and how that will affect the entire DL life cycle. Previously, we have looked at the basic concepts of leveraging DL for genomic applications, but to leverage DL to genomics requires one to understand each of these phases in the DL life cycle clearly. With that goal in mind, let’s go into the details of each of these phases in the following section:

Figure 9.2 – Different phases of a typical DL life cycle

We will go through the steps given in the previous screenshot:

  1. Identify business goal: The first phase in the DL life cycle is identifying a business goal. Every DL project starts with a business problem, scope and risks. This is simply coming up with a clear idea of the business problem to be solved any kind of risk that...
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