Deep Learning for Genomics
Data-driven approaches for genomics applications in life sciences and biotechnology
1. Auflage
Erschienen am 21. Mai 2024
270 Seiten
978-1-80461-301-6 (ISBN)
Beschreibung
No detailed description available for "Deep Learning for Genomics".
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Weitere Details
Person
Devisetty Upendra Kumar :
Dr. Upendra Kumar Devisetty is a Senior Data Science Manager at Greenlight Biosciences where he leads a team of Bioinformatics Scientists, Data Scientists, Business Intelligence Analysts, and Project managers to support the various Bioinformatics and Data Science projects at GreenLight Biosciences and contribute to a cleaner environment, healthier people, and a stronger food supply chain.
Dr. Upendra Kumar Devisetty is a Senior Data Science Manager at Greenlight Biosciences where he leads a team of Bioinformatics Scientists, Data Scientists, Business Intelligence Analysts, and Project managers to support the various Bioinformatics and Data Science projects at GreenLight Biosciences and contribute to a cleaner environment, healthier people, and a stronger food supply chain.
Inhalt
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
- 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
