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Immunoinformatics of Cancers - 1st Edition - ISBN: 9780128224007

Immunoinformatics of Cancers

1st Edition

Practical Machine Learning Approaches Using R

Authors: Nima Rezaei Parnian Jabbari
Paperback ISBN: 9780128224007
Imprint: Academic Press
Published Date: 1st December 2021
Page Count: 210
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Description

Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and researching the immunological aspects of malignancies. It details biological and computational principles and the current applications of bioinformatic approaches in the study of human malignancies. Three sections cover the role of immunology in cancers and bioinformatics, including databases and tools, R programming and useful packages, and present the foundations of machine learning. The book then gives practical examples to illuminate the application of immunoinformatics to cancer, along with practical details on how computational and biological approaches can best be integrated.

This book provides readers with practical computational knowledge and techniques, including programming, and machine learning, enabling them to understand and pursue the immunological aspects of malignancies.

Key Features

  • Presents the knowledge researchers need to apply computational techniques to immunodeficiencies
  • Provides the most practical material for bioinformatics approaches to the immunology of cancers
  • Gives straightforward and efficient explanations of programming and machine learning approaches in R
  • Includes details of the most useful databases, tools, programming packages and algorithms for immunoinformatics
  • Illuminates clear explanations with practical examples of immunoinformatic approaches to cancer

Readership

Researchers and graduate students in biological sciences; researchers and graduate students in computational and analytical sciences

Table of Contents

Section I
1. Introduciton to cancer immunology
2. Introduction to bioinformatics
3. Practical databases in immunoinformatics

Section II
4. Principles of R programming
5. R programming in bioinformatics
6. Principle R packages in immunoinformatics

Section III
7. Introduction to machine learning
8. Naïve Bayes in R
9. Regressions in R
10. Linear and quadratic discriminant analysis
11. Support-vector Machine in R
12. Decision trees in R
13. Random forests in R
14. Neural Network in R
15. K Nearest Neighbour in R
16. Practice examples

Details

No. of pages:
210
Language:
English
Copyright:
© Academic Press 2021
Published:
1st December 2021
Imprint:
Academic Press
Paperback ISBN:
9780128224007

About the Authors

Nima Rezaei

Nima Rezaei is a Professor of clinical immunology at TUMS, vice dean of international affairs in the School of Medicine, and deputy president of RCID. He received his PhD in clinical immunology and human genetics from the University of Sheffield in the UK after graduation in medicine (MD) from TUMS. He wrote hundreds of papers and edits for leading book series and is the founding president of Universal Scientific Education and Research Network (USERN). He has published more than 670 articles in the field of basic and clinical immunology and primary immunodeficiency.

Affiliations and Expertise

Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences; Department of Immunology, School of Medicine, Tehran University of Medical Sciences; Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran

Parnian Jabbari

Parnian Jabbari is a Medical Doctor at Tehran University of Medical Sciences, and a member of the Network of Immunity in Infection, Malignancy & Autoimmunity (NIIMA). He also works with the Universal Scientific Education & Research Network (USERN), based in Tehran, Iran.

Affiliations and Expertise

Medical Doctor, Tehran University of Medical Sciences, Tehran, Iran

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