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Yang Luo

Brigham and Women's Hospital and Harvard Medical School - Center for Data Sciences

United States

  • Brigham and Women's Hospital and Harvard Medical School - Center for Data Sciences

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Scholarly Papers (1)

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Multimodal Profiling of 500,000 Memory T Cells from a Tuberculosis Cohort Identifies Cell State Associations with Demographics, Environment, and Disease

Number of pages: 92 Posted: 12 Aug 2020
Aparna Nathan, Jessica Beynor, Yuriy Baglaenko, Sara Suliman, Sara Suliman, Kazuyoshi Ishigaki, Samira Asgari, Chuan-Chin Huang, Yang Luo, Zibiao Zhang, Kattya Lopez Tamara, Judith Jimenez, Roger I. Calderón, Leonid Lecca, Ildiko van Rhijn, David Branch Moody, Megan B. Murray and Soumya Raychaudhuri
Brigham and Women's Hospital - Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School - Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School - Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School - Division of Rheumatology, Inflammation, and ImmunityUniversity of Cape Town (UCT) - South African Tuberculosis Vaccine Initiative, Brigham and Women's Hospital and Harvard Medical School - Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School - Center for Data Sciences, Harvard Medical School - Department of Global Health and Social Medicine, Brigham and Women's Hospital and Harvard Medical School - Center for Data Sciences, Harvard Medical School - Department of Global Health and Social Medicine, Socios En Salud, Socios En Salud, Socios En Salud, Socios En Salud, Brigham and Women’s Hospital and Harvard Medical School - Division of Rheumatology, Inflammation, and Immunity, Brigham and Women’s Hospital and Harvard Medical School - Division of Rheumatology, Inflammation, and Immunity, Harvard Medical School - Department of Global Health and Social Medicine and Brigham and Women's Hospital - Center for Data Sciences
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multimodal, single-cell, mRNA, protein, integration, T cells, tuberculosis, environment, Th17