Immunoinformatics of Cancers

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Immunoinformatics of Cancers Publisher

Rezaei N¹ ; Jabbari P²

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.

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Style	Citing Format
MLA	Rezaei N, Jabbari P. "Immunoinformatics of Cancers." Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R, vol. , no. , 2022, pp. 1-270.
APA	Rezaei N, Jabbari P (2022). Immunoinformatics of Cancers. Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R, (), 1-270.
Chicago	Rezaei N, Jabbari P. "Immunoinformatics of Cancers." Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R , no. (2022): 1-270.
Harvard	Rezaei N, Jabbari P (2022) 'Immunoinformatics of Cancers', Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R, (), pp. 1-270.
Vancouver	Rezaei N, Jabbari P. Immunoinformatics of Cancers. Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R. 2022;():1-270.
BibTex	@article{ author = {Rezaei N and Jabbari P}, title = {Immunoinformatics of Cancers}, journal = {Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R}, volume = {}, number = {}, pages = {1-270}, year = {2022} }
RIS	TY - JOUR AU - Rezaei N AU - Jabbari P TI - Immunoinformatics of Cancers JO - Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R VL - IS - SP - 1 EP - 270 PY - 2022 ER -

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