Open Access Highly Accessed Research article

Discriminating lymphomas and reactive lymphadenopathy in lymph node biopsies by gene expression profiling

To Ha Loi1, Anna Campain2, Adam Bryant1, Tim J Molloy1, Mark Lutherborrow1, Jennifer Turner3, Yee Hwa Jean Yang2 and David DF Ma1*

Author Affiliations

1 Blood Stem Cell and Cancer Research Unit, Department of Haematology, St Vincent's Hospital, Victoria Street, Darlinghurst, Australia

2 Centre for Mathematical Biology, School of Mathematics and Statistics, University of Sydney, Sydney, Australia

3 Department of Anatomical Pathology, St Vincent's Hospital, Victoria Street, Darlinghurst, Australia

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BMC Medical Genomics 2011, 4:27  doi:10.1186/1755-8794-4-27

Published: 31 March 2011

Additional files

Additional file 1:

Determination of optimal error rates. a pdf file describing how the optimal error rates for each classification was obtained.

Format: PDF Size: 33KB Download file

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Additional file 2:

Classifier genes that distinguish cHL from NHL. a pdf file containing one table

Format: PDF Size: 82KB Download file

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Additional file 3:

Classifier genes that distinguish FL from DLBCL. a pdf file containing one table.

Format: PDF Size: 77KB Download file

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Additional file 4:

Complete list of all classifier genes. an excel file containing 7 spreadsheets.

Format: XLS Size: 130KB Download file

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Additional file 5:

Dendrogram analysis of clinical covariates. A pdf file showing that the classifiers are not biased towards or against clinical covariates using dendrogram analysis.

Format: PDF Size: 379KB Download file

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