Chris Roadknight
Biomarker clustering of colorectal cancer data to complement clinical classification
Roadknight, Chris; Aickelin, Uwe; Ladas, Alex; Soria, Daniele; Scholefield, John; Durrant, Lindy
Authors
Uwe Aickelin
Alex Ladas
Daniele Soria
John Scholefield
Lindy Durrant
Abstract
In this paper, we describe a dataset relating to
cellular and physical conditions of patients who are
operated upon to remove colorectal tumours. This data
provides a unique insight into immunological status at the
point of tumour removal, tumour classification and postoperative survival. Attempts are made to cluster this dataset and important subsets of it in an effort to characterize the data and validate existing standards for tumour classification. It is apparent from optimal clustering that existing tumour classification is largely unrelated to immunological factors within a patient and that there may be scope for re-evaluating treatment options and survival estimates based on a combination of tumour physiology and patient histochemistry.
Citation
Roadknight, C., Aickelin, U., Ladas, A., Soria, D., Scholefield, J., & Durrant, L. Biomarker clustering of colorectal cancer data to complement clinical classification.
Conference Name | Federated Conference on Computer Science and Information Systems (FedCSIS) |
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End Date | Sep 12, 2012 |
Deposit Date | Jun 17, 2013 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/1009235 |
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Biomarker_Clustering_of_Colorectal_Cancer_Data_to_complement_clinical_classification.FedCSIS.2012.pdf
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