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Contact


Email

tancw@unimelb.edu.au

Credentials


Position
Honorary (Fellow)
Department of Medical Biology (WEHI)
ORCID

0000-0001-9695-7218

Dr Chin Tan

Honorary (Fellow)
Department of Medical Biology (WEHI)

62 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    IdentifiHR predicts homologous recombination deficiency in high-grade serous ovarian carcinoma using gene expression
    DOI: 10.1038/s43856-026-01387-y
  • 2026

    Journal article

    Spatial multi-omics characterization of neuroblastoma reveals ferroptosis-associated metabolic features in high-risk tumors.
    DOI: 10.1186/s13073-026-01622-0
  • 2026

    Journal article

    SM3DD with segmented PCA: A comprehensive method for interpreting 3D spatial transcriptomics
    DOI: 10.1093/nargab/lqag007
  • 2026

    Journal article

    T cell and monocyte activation in concert with hematopoietic stem cell interactions shapes the post-allogeneic transplant immune landscape in poor graft function
    DOI: 10.3389/fimmu.2026.1750093
  • 2026

    Journal article

    ErbB receptor stimulation is required for mouse Colon adenoma organoids to form crypts
    DOI: 10.1080/08977194.2026.2649730
  • 2025

    Journal article

    The development of a high-plex spatial proteomic methodology for the characterisation of the head and neck tumour microenvironment
    DOI: 10.1038/s41698-025-00963-0
  • 2025

    Journal article

    SpaNorm: spatially-aware normalization for spatial transcriptomics data
    DOI: 10.1186/s13059-025-03565-y
Chin Tan

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Proximity and metabolic activity proxies in the tumor microenvironment as predictors of survival in high grade serous ovarian cancer.
    DOI: 10.1016/j.isci.2025.113572
  • 2025

    Journal article

    Divergent cytokine and transcriptional signatures control functional T follicular helper cell heterogeneity
    DOI: 10.1038/s41590-025-02258-9
  • 2025

    Journal article

    Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer
    DOI: 10.1038/s41588-025-02351-7

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