Data

Spatial Transcriptomics and Histopathological Dataset of Head and Neck Cancer

The University of Queensland
Dr Quan Nguyen (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/5842caa&rft.title=Spatial Transcriptomics and Histopathological Dataset of Head and Neck Cancer&rft.identifier=10.48610/5842caa&rft.publisher=The University of Queensland&rft.description=This dataset supports the study investigating the spatial molecular landscape and microenvironmental drivers of recurrence in Head and Neck Cancer (HNC). Using high-resolution spatially resolved transcriptomics (10x Genomics Visium and Xenium) integrated with expert pathologist annotations, this study characterizes key differences between recurrent and non-recurrent tumors.&rft.creator=Dr Quan Nguyen&rft.date=2026&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Head and neck cancer&rft_subject=Transcriptome&rft_subject=Head and neck&rft_subject=Genomics&rft_subject=Cancer&rft_subject=Bioinformatics and computational biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Cancer diagnosis&rft_subject=Oncology and carcinogenesis&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft_subject=Genomics and transcriptomics&rft.type=dataset&rft.language=English Access the data

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Full description

This dataset supports the study investigating the spatial molecular landscape and microenvironmental drivers of recurrence in Head and Neck Cancer (HNC). Using high-resolution spatially resolved transcriptomics (10x Genomics Visium and Xenium) integrated with expert pathologist annotations, this study characterizes key differences between recurrent and non-recurrent tumors.

Issued: 03 08 2026

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Identifiers
ACN 633 798 857