Genome Biology

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A molecular map of mesenchymal tumors

Stephen R Henderson1*, David Guiliano1,2, Nadege Presneau1, Sean McLean1, Richard Frow1,3, Sonja Vujovic1, John Anderson4, Neil Sebire5, Jeremy Whelan6, Nick Athanasou7, Adrienne M Flanagan3 and Chris Boshoff1

Author Affiliations

1 Cancer Research UK, Viral Oncology Group, Wolfson Institute for Biomedical Research, Gower Street, University College London, London, WC1E 6BT, UK

2 Division of Cell and Molecular Biology, Biochemistry Building, Faculty of Life Sciences, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK

3 Institute of Orthopaedics and Department of Pathology, Royal National Orthopaedic Hospital, Stanmore, Middlesex, HA7 4LP, UK

4 Unit of Molecular Haematology and Cancer Biology, Institute of Child Health and Great Ormond Street Hospital, Guildford Street, London, WC1N 1EH, UK

5 Department of Pathology, Great Ormond Street Hospital for Children, London, WC1N 3JH, UK

6 London Bone and Soft Tissue Tumour Service, University College London Hospitals, London, UK

7 Department of Pathology, Nuffield Department of Orthopaedic Surgery, Nuffield Orthopaedic Centre, Headington, Oxford, OX3 7LD, UK

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Genome Biology 2005, 6:R76 doi:10.1186/gb-2005-6-9-r76

Published: 26 August 2005

Additional files

Additional data file 1:

Average hierarchical clustering of tumor samples. The same set of inter-sample distances were used as in Figure 1. The cophenetic correlation of this clustering, a measure of the summary quality, was 0.71.

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Additional data file 2:

Supplementary information on the genes shown in Figures 3 and 4 in Worksheet S2A and S2B respectively. This includes references to the function of genes that lend support to our model feature selection, plus references the previously reported role of many genes in cancer.

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Additional data file 3:

Clinical and pathological details of all samples used in this study.

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Open Data