ReviewSeminars in immunology2013
Human systems immunology: hypothesis-based modeling and unbiased data-driven approaches.
Review in Seminars in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- A multi-omics-empowered framework for precision diagnosis and treatment of lysosomal diseases.Journal of pharmaceutical analysis · 2025Review
- Article
- Spatiotemporal metabolomic approaches to the cancer-immunity panorama: a methodological perspective.Molecular cancer · 2024Review
- Network-based integrative multi-omics approach reveals biosignatures specific to COVID-19 disease phases.Frontiers in molecular biosciences · 2024Article
- Towards systems immunology of critical illness at scale: from single cell 'omics to digital twins.Trends in immunology · 2023Review
- Mechanistic model for booster doses effectiveness in healthy, cancer, and immunosuppressed patients infected with SARS-CoV-2.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis.IEEE transactions on big data · 2021Article
- Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures.PLoS neglected tropical diseases · 2020Article
- Simulation modelling for immunologists.Nature reviews. Immunology · 2020Review
- Distributed Adaptive Search in T Cells: Lessons From Ants.Frontiers in immunology · 2019Review
- Introduction to modeling viral infections and immunity.Immunological reviews · 2018Article
- Comprehensive innate immune profiling of chikungunya virus infection in pediatric cases.Molecular systems biology · 2018Article
- Systemic Inflammation-Associated Proteins and Retinopathy of Prematurity in Infants Born Before the 28th Week of Gestation.Investigative ophthalmology & visual science · 2017Observational
- Fighting Cancer with Mathematics and Viruses.Viruses · 2017Review
- Solving Immunology?Trends in immunology · 2017Review
- Mathematics in modern immunology.Interface focus · 2016Review
- Embracing Complexity beyond Systems Medicine: A New Approach to Chronic Immune Disorders.Frontiers in immunology · 2016Article
- Unifying immunology with informatics and multiscale biology.Nature immunology · 2014Review
- Predictive models of type 1 diabetes progression: understanding T-cell cycles and their implications on autoantibody release.PloS one · 2014Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Systems immunology is an emerging paradigm that aims at a more systematic and quantitative understanding of the immune system. Two major approaches have been utilized to date in this field: unbiased data-driven modeling to comprehensively identify molecular and cellular components of a system and their interactions; and hypothesis-based quantitative modeling to understand the operating principles of a system by extracting a minimal set of variables and rules underlying them. In this review, we describe applications of the two approaches to the study of viral infections and autoimmune diseases in humans, and discuss possible ways by which these two approaches can synergize when applied to human immunology.
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