Deep Learning in Bioinformatics: Techniques and Applications in Practice – Ebook PDF Instant Delivery – ISBN(s): 9780128238226,0128238224
Product details:
- ISBN-10 : 0128238224
- ISBN-13 : 978-0128238226
- Author: Habib Izadkhah
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 image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies.
Table of contents:
Chapter 1: Why life science?
Chapter 2: A review of machine learning
Chapter 3: An introduction of Python ecosystem for deep learning
Chapter 4: Basic structure of neural networks
Chapter 5: Training multilayer neural networks
Chapter 6: Classification in bioinformatics
Chapter 7: Introduction to deep learning
Chapter 8: Medical image processing: an insight to convolutional neural networks
Chapter 9: Popular deep learning image classifiers
Chapter 10: Electrocardiogram (ECG) arrhythmia classification
Chapter 11: Autoencoders and deep generative models in bioinformatics
Chapter 12: Recurrent neural networks: generating new molecules and proteins sequence classification
Chapter 13: Application, challenge, and suggestion
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