Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R

Author:   Nima Rezaei ,  Parnian Jabbari (Medical Doctor, Tehran University of Medical Sciences, Tehran, Iran)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128224007


Pages:   282
Publication Date:   21 April 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R


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Overview

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.

Full Product Details

Author:   Nima Rezaei ,  Parnian Jabbari (Medical Doctor, Tehran University of Medical Sciences, Tehran, Iran)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.430kg
ISBN:  

9780128224007


ISBN 10:   0128224002
Pages:   282
Publication Date:   21 April 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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

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Author Information

Professor Nima Rezaei gained his medical degree (MD) from Tehran University of Medical Sciences and subsequently obtained an MSc in Molecular and Genetic Medicine and a PhD in Clinical Immunology and Human Genetics from the University of Sheffield, UK. He also spent a short-term fellowship of Pediatric Clinical Immunology and Bone Marrow Transplantation in the Newcastle General Hospital. Professor Rezaei is now the Full Professor of Immunology and Vice Dean of Research, School of Medicine, Tehran University of Medical Sciences, and the co-founder and Head of the Research Center for Immunodeficiencies. He is also the founding President of the Universal Scientific Education and Research Network (USERN). Professor Rezaei has already been the Director of more than 55 research projects and has designed and participated in several international collaborative projects. Professor Rezaei is an editorial assistant or board member for more than 30 international journals. He has edited more than 35 international books, has presented more than 500 lectures/posters in congresses/meetings, and has published more than 1,000 scientific papers in the international journals. 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). She also works with the Universal Scientific Education & Research Network (USERN), based in Tehran, Iran.

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