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Immunoinformatics of Cancers

Practical Machine Learning Approaches Using R

By: Nima Rezaei,Parnian Jabbari

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Immunoinformatics of Cancers

Practical Machine Learning Approaches Using R

By: Nima Rezaei,Parnian Jabbari

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. - 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

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Page Count

284

Publisher

Academic Press

Published Date

ISBN 10

0128224304

ISBN 13

9780128224304

Immunoinformatics of Cancers

Practical Machine Learning Approaches Using R

By: Nima Rezaei,Parnian Jabbari

Write a review Read reviews Take a Quiz Solve Book Puzzle

Immunoinformatics of Cancers

Practical Machine Learning Approaches Using R

By: Nima Rezaei,Parnian Jabbari

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. - 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

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

284

Publisher

Academic Press

Published Date

ISBN 10

0128224304

ISBN 13

9780128224304