Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor stimulation

doi:10.1186/1471-2105-8-14

BMC Bioinformatics

Volume 8

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Jelier R
Jenster G
Dorssers LC
Wouters BJ
Hendriksen PJ
Mons B
Delwel R
Kors JA

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Jenster G
Dorssers LC
Wouters BJ
Hendriksen PJ
Mons B
Delwel R
Kors JA
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Research article

Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor stimulation

Rob Jelier¹ , Guido Jenster² , Lambert CJ Dorssers³ , Bas J Wouters⁴ , Peter JM Hendriksen² , Barend Mons¹ , Ruud Delwel⁴ and Jan A Kors¹

¹Department of Medical Informatics, Erasmus MC – University Medical Center, Rotterdam, The Netherlands

²Department of Urology, Erasmus MC – University Medical Center, Rotterdam, The Netherlands

³Department of Pathology, Erasmus MC – University Medical Center, Rotterdam, The Netherlands

⁴Department of Hematology, Erasmus MC – University Medical Center, Rotterdam, The Netherlands

author email corresponding author email

BMC Bioinformatics 2007, 8:14doi:10.1186/1471-2105-8-14


Published:	18 January 2007

Additional files

Additional File 1:

The controlled test set.

Format: RTF Size: 73KB Download file

Additional File 2:

Annotation of the first DNA microarray dataset.

Format: RTF Size: 1.6MB Download file

Additional File 3:

Annotation of the second DNA microarray dataset.

Format: RTF Size: 190KB Download file

Additional File 4:

Semantic types used for filtering.

Format: RTF Size: 137KB Download file