Data

Raw Data: Clinical study to assess predictors of response to checkpoint blockade, blood and microbiome analysis of cancer patients undergoing ICI therapy.

The University of Queensland
Dr Ahmed Mehdi (Aggregated by) Dr Ahmed Mehdi (Aggregated by) Dr Janin Chandra (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/16aba43&rft.title=Raw Data: Clinical study to assess predictors of response to checkpoint blockade, blood and microbiome analysis of cancer patients undergoing ICI therapy.&rft.identifier=RDM ID: 8416e098-89f1-4b90-b68c-9a4aaad1e8a2&rft.publisher=The University of Queensland&rft.description=Clinical study to assess predictors of response to checkpoint blockade, blood and microbiome analysis of cancer patients undergoing ICI therapy. Dataset contains the raw flow cytometry files of patient-derived PBMC samples analysed using a 30-parameter flow cytometry panel.&rft.creator=Dr Ahmed Mehdi&rft.creator=Dr Ahmed Mehdi&rft.creator=Dr Janin Chandra&rft.date=2026&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Bioinformatics&rft_subject=BIOLOGICAL SCIENCES&rft_subject=BIOCHEMISTRY AND CELL BIOLOGY&rft_subject=IMMUNOLOGY&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=ONCOLOGY AND CARCINOGENESIS&rft.type=dataset&rft.language=English Access the data

Contact Information

[email protected]
Frazer Institute

Full description

Clinical study to assess predictors of response to checkpoint blockade, blood and microbiome analysis of cancer patients undergoing ICI therapy. Dataset contains the raw flow cytometry files of patient-derived PBMC samples analysed using a 30-parameter flow cytometry panel.

Issued: 27 07 2026

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Other Information
Identifiers
ACN 633 798 857