Deep Learning for Genomics Data-Driven Approaches for Genomics Applications in Life Sciences and Biotechnology
What you will learn Discover the machine learning applications for genomics Explore deep learning concepts and methodologies for genomics applications Understand supervised deep learning algorithms for genomics applications Get to grips with unsupervised deep learning with autoencoders Improve deep...
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| Format: | eBook |
| Language: | English |
| Published: |
[S.l.]
PACKT PUBLISHING LIMITED
2022
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Table of Contents Introducing Machine Learning for Genomics Genomics Data Analysis Machine Learning Methods for Genomic Applications Deep Learning for Genomics Introducing Convolutional Neural Networks for Genomics Recurrent Neural Networks in Genomics Unsupervised Deep Learning with Autoencoders GANs for Improving Models in Genomics Building and Tuning Deep Learning Models Model Interpretability in Genomics Model Deployment and Monitoring Challenges, Pitfalls, and Best Practices for Deep Learning in Genomics