Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16099
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: http://ahro.austin.org.au/austinjspui/handle/1/16099
DOI: 10.1093/jnci/djw031
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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