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Deep learning in bioinformatics : techniques and applications in practice /
Introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic Press,
2022.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Why Life Science?
- A Review of Machine Learning
- An Introduction of Python Ecosystem for Deep Learning
- Basic Structure of Neural Networks
- Training Multilayer Neural Networks
- Classification in Bioinformation
- Introduction to Deep Learning
- Medical Image Processing: an Insight to Convolutional Neural Networks
- Popular Deep Learning Image Classifiers
- Electrocardiogram (ECG) Arrhythmia Classification
- Autoencoders and Deep Generative Models in Bioinformatics
- Recurrent Neural Networks: Generating New Molecules and Proteins Sequence Classification
- Application, Challenge, and Suggestion.