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Deep Learning for Genomics
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Deep Learning for Genomics
by Upendra Kumar Devisetty
Deep Learning for Genomics
Deep Learning for Genomics
Contributors
About the author
About the reviewer
Preface
Part 1 – Machine Learning in Genomics
Chapter 1: Introducing Machine Learning for Genomics
Chapter 2: Genomics Data Analysis
Chapter 3: Machine Learning Methods for Genomic Applications
Part 2 – Deep Learning for Genomic Applications
Chapter 4: Deep Learning for Genomics
Chapter 5: Introducing Convolutional Neural Networks for Genomics
Chapter 6: Recurrent Neural Networks in Genomics
Chapter 7: Unsupervised Deep Learning with Autoencoders
Chapter 8: GANs for Improving Models in Genomics
Part 3 – Operationalizing models
Chapter 9: Building and Tuning Deep Learning Models
Chapter 10: Model Interpretability in Genomics
Chapter 11: Model Deployment and Monitoring
Chapter 12: Challenges, Pitfalls, and Best Practices for Deep Learning in Genomics
Index
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