Immunoinformatics of Cancers
Practical Machine Learning Approaches Using R
- 1st Edition - April 19, 2022
- Latest edition
- Authors: Nima Rezaei, Parnian Jabbari
- Language: English
Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and researching the immunological aspects of malign… Read more
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Description
Description
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
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
Readership
Table of contents
Table of contents
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: April 19, 2022
- Language: English
About the authors
About the authors
NR
Nima Rezaei
Nima Rezaei, MD, PhD, is Professor of Clinical Immunology and Allergy at Tehran University of Medical Sciences, where he also serves as Associate Dean of International Affairs for the School of Medicine and Director of the Global Academic Program. He is Deputy President of the Research Center for Immunodeficiencies and holds an affiliated research appointment in the Division of Clinical Immunology, Department of Laboratory Medicine, Karolinska Institutet, Sweden. He earned his MD from Tehran University of Medical Sciences and his PhD in Clinical Immunology and Human Genetics from the University of Sheffield, United Kingdom. His research addresses primary immunodeficiencies and translational immunology, with recent work extending into computational and AI-based approaches to immune profiling. He is the founder and President of the Universal Scientific Education and Research Network (USERN) and serves as co-editor of the Springer Nature series Advances in Experimental Medicine and Biology.
PJ