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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Izadkhah, Habib (Author)
Format: Electronic eBook
Language:Inglés
Published: London : Academic Press, 2022.
Subjects:
Bioinformatics.
Machine learning.
Computational Biology
Machine Learning
Bio-informatique.
Apprentissage automatique.
Bioinformatics
Machine learning
Online Access:Texto completo
Table of Contents:
  • 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.

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