Deep Learning in Bioinformatics: Techniques and Applications in Practice 1st Edition

Deep Learning in Bioinformatics: Techniques and Applications in Practice 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9780128238226,0128238224,9780128238363, 0128238364

Product details:

• ISBN-10: 0128238364
• ISBN-13: 9780128238363
• 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 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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