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Tracing the inFLUenza vaccine imPRINT on immune system to identify cellular signature of protection

Publikacje

Gene expression profiling reveals insights into infant immunological and febrile responses to group B meningococcal vaccine

Autorzy: Daniel O’Connor, Marta Valente Pinto, Dylan Sheerin, Adriana Tomic, Ruth E Drury, Samuel Channon‐Wells, Ushma Galal, Christina Dold, Hannah Robinson, Simon Kerridge, Emma Plested, Harri Hughes, Lisa Stockdale, Manish Sadarangani, Matthew D Snape, Christine S Rollier, Michael Levin, Andrew J Pollard
Opublikowane w: Molecular Systems Biology, Numer 16/11, 2020, ISSN 1744-4292
Wydawca: Nature Publishing Group
DOI: 10.15252/msb.20209888

Systems Immunology: Revealing Influenza Immunological Imprint

Autorzy: Adriana Tomic, Andrew J. Pollard, Mark M. Davis
Opublikowane w: Viruses, Numer 13/5, 2021, Strona(/y) 948, ISSN 1999-4915
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/v13050948

SIMON: Open-Source Knowledge Discovery Platform

Autorzy: Adriana Tomic, Ivan Tomic, Levi Waldron, Ludwig Geistlinger, Max Kuhn, Rachel L. Spreng, Lindsay C. Dahora, Kelly E. Seaton, Georgia Tomaras, Jennifer Hill, Niharika A. Duggal, Ross D. Pollock, Norman R. Lazarus, Stephen D.R. Harridge, Janet M. Lord, Purvesh Khatri, Andrew J. Pollard, Mark M. Davis
Opublikowane w: Patterns, Numer 2/1, 2021, Strona(/y) 100178, ISSN 2666-3899
Wydawca: Cell press
DOI: 10.1016/j.patter.2020.100178

SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses

Autorzy: Adriana Tomic, Ivan Tomic, Yael Rosenberg-Hasson, Cornelia L. Dekker, Holden T. Maecker, Mark M. Davis
Opublikowane w: The Journal of Immunology, 2019, Strona(/y) ji1900033, ISSN 0022-1767
Wydawca: American Association of Immunologists
DOI: 10.4049/jimmunol.1900033

The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system

Autorzy: Adriana Tomic, Ivan Tomic, Cornelia L. Dekker, Holden T. Maecker, Mark M. Davis
Opublikowane w: Scientific Data, Numer 6/1, 2019, ISSN 2052-4463
Wydawca: Nature
DOI: 10.1038/s41597-019-0213-4

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