Tehran University of Medical Sciences

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Immunoinformatics of Cancers Publisher



Rezaei N1 ; Jabbari P2
Authors
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Authors Affiliations
  1. 1. Research Center for Immunodeficiencies, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran

Source: Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R Published:2022


Abstract

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. © 2022 Elsevier Inc. All rights reserved.