Khoa A. Tran

Employment

• QIMR Berghofer Medical Research Institute Postdoctoral Researcher
  2020 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Inhibition of BRN2 in melanoma reverses anoikis resistance and sensitizes cells to killing by vemurafenib
  Journal of Experimental & Clinical Cancer Research 2026 DOI: 10.1186/s13046-026-03819-y
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• Explainable machine learning identifies features and thresholds predictive of immunotherapy response
  Scientific Reports 2026 DOI: 10.1038/s41598-026-47752-8
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• Cancer genomic profiling predicts pathogenicity of BRCA1 and BRCA2 variants
  2026 DOI: 10.64898/2026.03.05.26347746
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• Computer Vision–Based Analysis of Adipocyte–Tumour Associations Reveals Tumour Type- and Obesity-Specific Adaptation
  Martin E. Lien, Günter Härtel, Khoa Anh Tran +5 more
  2026 DOI: 10.2139/ssrn.6794364
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• Inhibition of BRN2 in Melanoma Reverses Anoikis Resistance and Sensitizes Cells to Killing by Vemurafenib
  2025 DOI: 10.1101/2025.07.31.667908
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• xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation
  2025 DOI: 10.48550/ARXIV.2504.01356
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• Explainable machine learning identifies features and thresholds predictive of immunotherapy response
  2025 DOI: 10.1101/2025.03.23.643560
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• Unveiling the Tumour Microenvironment: A Multi-Omics Machine Learning Approach for Personalised Cancer Treatment
  2024 DOI: 10.5204/thesis.eprints.251615
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• Clinically significant changes in genes and variants associated with epilepsy over time: implications for re-analysis
  Alan J. Robertson, Khoa Anh Tran, Carmen Bennett +4 more
  Scientific Reports 2024 DOI: 10.1038/s41598-024-57976-1
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• Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures
  Khoa Anh Tran, Venkateswar Addala, Rebecca L. Johnston +12 more
  Nature Communications 2023 DOI: 10.1038/s41467-023-41385-5
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• Evolution of virtual gene panels over time and implications for genomic data re-analysis
  Alan J. Robertson, Khoa Tran, Chirag Patel +3 more
  Genetics in Medicine Open 2023 DOI: 10.1016/j.gimo.2023.100820
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• Correction to: Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes
  2022 DOI: 10.1007/978-981-16-8531-6_17
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• Verifying explainability of a deep learning tissue classifier trained on RNA-seq data
  Melvyn Yap, Rebecca L. Johnston, Helena Foley +9 more
  Scientific Reports 2021 DOI: 10.1038/s41598-021-81773-9
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• Deep learning in cancer diagnosis, prognosis and treatment selection
  Khoa Anh Tran, Olga Kondrashova, Andrew Peter Bradley +3 more
  Genome Medicine 2021 DOI: 10.1186/s13073-021-00968-x
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• Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes
  2021 DOI: 10.1007/978-981-16-8531-6_2
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