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Title: | Current and evolving methods to visualize biological data in cancer research | Austin Authors: | Chia, Puey Ling ;Gedye, Craig;Boutros, Paul C;Wheatley-Price, Paul;John, Thomas | Affiliation: | Department of Medical Oncology and Olivia-Newton John Cancer Research Institute, Austin Health, Heidelberg, Victoria, Australi School of Biomedical Sciences and Pharmacy, Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, Australia Informatics & Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Canada Department of Medical Biophysics and Department of Pharmacology & Toxicology, University of Toronto, Toronto, Canada Ottawa Hospital Research Institute and Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada |
Issue Date: | 31-May-2016 | Publication information: | Journal of the National Cancer institute 2016; 108(8): djw031 | Abstract: | Although the measurements of clinical outcomes for cancer treatments have become diverse and complex, there remains a need for clear, easily interpreted representations of patients' experiences. With oncology trials increasingly reporting non-time-to-event outcomes, data visualization has evolved to incorporate parameters such as responses to therapy, duration and degree of response, and novel representations of underlying tumor biology. We review both commonly used and newly developed methods to display outcomes in oncology, with a focus on those that have evolved to represent complex datasets. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/16099 | DOI: | 10.1093/jnci/djw031 | Journal: | Journal of the National Cancer institute | PubMed URL: | https://pubmed.ncbi.nlm.nih.gov/27245079 | Type: | Journal Article | Subjects: | Clinical Trials as Topic Computer Graphics Neoplasms |
Appears in Collections: | Journal articles |
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