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Systems Immunology And Infection Microbiology 1st Edition Borsem Chen

  • SKU: BELL-34799388
Systems Immunology And Infection Microbiology 1st Edition Borsem Chen
$ 31.00 $ 45.00 (-31%)

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Systems Immunology And Infection Microbiology 1st Edition Borsem Chen instant download after payment.

Publisher: Elsevier
File Extension: PDF
File size: 65.03 MB
Pages: 1200
Author: Bor-Sem Chen
ISBN: 9780128173350, 0128173351
Language: English
Year: 2021
Edition: 1

Product desciption

Systems Immunology And Infection Microbiology 1st Edition Borsem Chen by Bor-sem Chen 9780128173350, 0128173351 instant download after payment.

Systems Immunology and Infection Microbiology provides a large amount of biological system models, diagrams and flowcharts to illustrate development procedures and help users understand the results of systems immunology and infection microbiology. Chapters discuss systems immunology, systems infection microbiology, systematic inflammation and immune responses in restoration and regeneration process, systems' innate and adaptive immunity in infection process, systematic genetic and epigenetic pathogenic/defensive mechanism during bacterial infection on human cells is introduced, and the systematic genetic and epigenetic pathogenic/defensive mechanisms during viral infection on human cells. This book provides new big data-driven and systems-driven systems immunology and infection microbiology to researchers applying systems biology and bioinformatics in their work. It is also invaluable to several members of biomedical field who are interested in learning more about those approaches. Encompasses one applicable example in every chapter to illustrate the solution procedure from big data mining, network modeling, host/pathogen cross-talk detection, drug target identification and systems drug design Presents flowcharts to represent the development procedure of systematic immunology and infection in a very clear format Contains 100 color diagrams to help readers understand the related biological networks, their corresponding mechanisms, and significant network biomarkers for therapeutic drug design

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