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Expert Review of Proteomics Volume 13, 2016 - Issue 6
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Review

Advances in mass spectrometry-based cancer research and analysis: from cancer proteomics to clinical diagnostics

John F. TimmsDepartment of Women’s Cancer, Institute for Women’s Health, University College London, London, UK
,
Oliver J. HaleDepartment of Chemistry, University of Reading, Reading, UK
&
Rainer CramerDepartment of Chemistry, University of Reading, Reading, UKCorrespondence[email protected]
Pages 593-607 | Received 11 Feb 2016, Accepted 21 Apr 2016, Published online: 06 May 2016

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Yi Yang, Ling Lin & Liang Qiao. (2021) Deep learning approaches for data-independent acquisition proteomics. Expert Review of Proteomics 18:12, pages 1031-1043.
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Abdo Alnabulsi & Graeme I. Murray. (2018) Proteomics for early detection of colorectal cancer: recent updates. Expert Review of Proteomics 15:1, pages 55-63.
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Tadashi Kondo. (2017) Current status of proteomics of soft tissue sarcomas. Expert Review of Proteomics 14:12, pages 1131-1140.
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Lukas Krasny & Paul H. Huang. (2021) Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology. Molecular Omics 17:1, pages 29-42.
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Yarixa L. Cintron-Diaz, Arlet M. Acanda de la Rocha, Anthony Castellanos, Jeremy M. Chambers & Francisco Fernandez-Lima. (2020) Mapping chemotherapeutic drug distribution in cancer cell spheroids using 2D-TOF-SIMS and LESA-TIMS-MS. The Analyst 145:21, pages 7056-7062.
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Mahmoud Rafea, Passant Elkafrawy, Mohammed M. Nasef, Rasha Elnemr & Amani Tariq Jamal. (2019) Applying Machine Learning of Erythrocytes Dynamic Antigens Store in Medicine. Frontiers in Molecular Biosciences 6.
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A. Marcell Szasz, Johan Malm, Melinda Rezeli, Yutaka Sugihara, Lazaro H. Betancourt, Daniel Rivas, Balázs Gyorffy & György Marko-Varga. (2018) Challenging the heterogeneity of disease presentation in malignant melanoma—impact on patient treatment. Cell Biology and Toxicology 35:1, pages 1-14.
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