The effect of the stromal component of breast tumours on prediction of clinical outcome using gene expression microarray analysis
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* Corresponding author: Susan J Cleator s.cleator@imperial.ac.uk
1 Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, Fulham Road, SW3 6JB, London, UK
2 Current address: Department of Oncology, St. Mary's Hospital, Praed Street, London W2 1NY, UK
3 Parkside Hospital, Parkside, SW19 5NX, London, UK
4 Breast Unit, Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK
5 Department of Academic Biochemistry, Royal Marsden Hospital, Fulham Road, SW3 6JJ, London, UK
Breast Cancer Research 2006, 8:R32 doi:10.1186/bcr1506
Published: 21 June 2006Additional files
Additional file 1:
A PDF file containing a dendrogram of flexible beta clustering with Spearman rank correlation on all core biopsy samples taken from 43 patients.
Format: PDF Size: 195KB Download file
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Additional file 3:
A word document containing a table that shows the characteristics of paired (repeat) core biopsy samples.
Format: DOC Size: 36KB Download file
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Additional file 4:
A word document containing a table that shows the oestrogen receptor (ER) predictive genes.
Format: DOC Size: 68KB Download file
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Additional file 5:
A word document containing a table that shows response prediction gene lists with expression ratios.
Format: DOC Size: 78KB Download file
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Additional file 6:
A PDF file showing Permutation to assess the generalisability of the reduction in error rate observed by addition of the 'histology gene'.
Format: PDF Size: 189KB Download file
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Additional file 2:
A word document containing the legend for additional data file 1.
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Additional file 7:
A word document containing the legend for Additional data file 6.
Format: DOC Size: 20KB Download file
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