(PDF) Systems Immunology by Jayajit Das, Ciriyam Jayaprakash

This is the PDF eBook version for Systems Immunology – An Introduction to Modeling Methods for Scientists by Jayajit Das, Ciriyam Jayaprakash

Table of Contents

1 Introduction to basic concepts in immunology

Roxana Khazen and Salvatore Valitutti

2 Overview of mechanistic modeling: Techniques, approximations, and assumptions

Steven M. Abel

3 The fundamentals of statistical data analysis

William C. L. Stewart

4 Using data to guide model construction: Application of principal component analysis

and related methods in immunology research

Kathryn Miller-Jensen

5 An introduction to rule-based modeling of immune receptor signaling

John A.P. Sekar and James R. Faeder

6 Boolean models in immunology

Reinhard Laubenbacher and Elena Dimitrova

7 From evolutionary computation to phenotypic spandrels: Inverse problem for immune

ligand recognition

Paul François and Mathieu Hemery

8 Zen and the art of parameter estimation in systems biology

Christopher R. Myers

9 Spatial kinetics in immunological modeling

Daniel Coombs and Byron Goldstein

10 Analysis and modeling of single cell data

Derya Altintan, Jascha Diemer, and Heinz Koeppl

11 Quantifying lymphocyte receptor diversity

Thierry Mora and Aleksandra M. Walczak

12 Antigen receptor diversification during immune responses

Miri Michaeli and Ramit Mehr

13 Quantitative modeling of mast cell signaling

Lily A. Chylek, David A. Holowka, Barbara A. Baird, and William S. Hlavacek

14 Physical models in immune signaling

Jayajit Das

15 Modeling and inference of cell population dynamics

Michael Flossdorf and Thomas Höfer

16 Population dynamics of host and pathogens

Amber M. Smith, Ruy M. Ribeiro, and Alan S. Perelson

17 Viral fitness landscapes: A physical sciences perspective

Gregory R. Hart and Andrew L. Ferguson

18 A wish-list for modeling immunological synapses

Michael L. Dustin