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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 practical, computational knowledge and techniques available in bioinformatics, programming and machine learning in R for research on the immunological aspects of malignancies
The multidisciplinary nature of current research into cancer, assimilating both computation and biological approaches, means that understanding the critical immunological aspects of malignancies, as represented in numerous studies, is a serious challenge. Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and researching immunological aspects of malignancies, detailing biological and computational principles, and current applications of bioinformatic approaches to the study of human malignancies. Three sections cover the role of immunology in cancers and bioinformatics, including databases and tools; introduce R programming and useful packages; and present the foundations of machine learning, focusing on the most useful algorithms for research and application. The book then gives practical examples to illuminate the application of immunoinformatics to cancer, and practical details on how computational and biological approaches can best be integrated. This title presents key practical computational knowledge and techniques, including programming, and machine learning, helping researchers understand and pursue immunological aspects of malignancies.
Publisher : Academic Press; 1st edition (May 5, 2022)
Language : English
Paperback : 282 pages
ISBN-10 : 0128224002
ISBN-13 : 978-0128224007
