Biomarker clustering of colorectal cancer data to complement clinical classification
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. Attemp...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2012
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| Online Access: | https://eprints.nottingham.ac.uk/2035/ |
| _version_ | 1848790710035152896 |
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| author | Roadknight, Chris Aickelin, Uwe Ladas, Alex Soria, Daniele Scholefield, John Durrant, Lindy |
| author_facet | Roadknight, Chris Aickelin, Uwe Ladas, Alex Soria, Daniele Scholefield, John Durrant, Lindy |
| author_sort | Roadknight, Chris |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:16:56Z |
| format | Conference or Workshop Item |
| id | nottingham-2035 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:16:56Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-20352020-05-04T20:22:48Z https://eprints.nottingham.ac.uk/2035/ Biomarker clustering of colorectal cancer data to complement clinical classification Roadknight, Chris Aickelin, Uwe Ladas, Alex Soria, Daniele Scholefield, John Durrant, Lindy 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. 2012 Conference or Workshop Item PeerReviewed Roadknight, Chris, Aickelin, Uwe, Ladas, Alex, Soria, Daniele, Scholefield, John and Durrant, Lindy (2012) Biomarker clustering of colorectal cancer data to complement clinical classification. In: Federated Conference on Computer Science and Information Systems (FedCSIS), 9-12 Sept 2012, Wrocław, Poland. (Unpublished) |
| spellingShingle | Roadknight, Chris Aickelin, Uwe Ladas, Alex Soria, Daniele Scholefield, John Durrant, Lindy Biomarker clustering of colorectal cancer data to complement clinical classification |
| title | Biomarker clustering of colorectal cancer data to complement clinical classification |
| title_full | Biomarker clustering of colorectal cancer data to complement clinical classification |
| title_fullStr | Biomarker clustering of colorectal cancer data to complement clinical classification |
| title_full_unstemmed | Biomarker clustering of colorectal cancer data to complement clinical classification |
| title_short | Biomarker clustering of colorectal cancer data to complement clinical classification |
| title_sort | biomarker clustering of colorectal cancer data to complement clinical classification |
| url | https://eprints.nottingham.ac.uk/2035/ |