CompLS -Round 4 - Collaborative project: DeepTCR - Development of advanced deep learning approaches to analyse the T cell immune response at the single cell level - Subproject A

  • Funded by Federal Ministry of Research, Technology and Space (BMFTR)
  • Total publications:3 publications

Grant number: 031L0290A

Grant search

Key facts

  • Disease

    N/A
  • Start & end year

    2022
    2024
  • Known Financial Commitments (USD)

    $261,220.31
  • Funder

    Federal Ministry of Research, Technology and Space (BMFTR)
  • Research Location

    Germany
  • Lead Research Institution

    Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics
  • Research Subcategory

    Immunity
  • Special Interest Tags

    N/A
  • Study Type

    Unspecified
  • Clinical Trial Details

    N/A
  • Broad Policy Alignment

    Pending
  • Age Group

    Unspecified
  • Vulnerable Population

    Unspecified
  • Occupations of Interest

    Unspecified

Abstract

3 Publications linked via Europe PMC

Nasal Epithelial Immune Signatures Are Associated With Age-Dependent Asthma Trajectories in Early Life.

Integrating complementary approaches reveals antigen-reactive CD4+ T cell states after SARS-CoV-2 vaccination.

Benchmarking of T cell receptor-epitope predictors with ePytope-TCR.