Open Access Highly Accessed Research article

Tissue-based Alzheimer gene expression markers–comparison of multiple machine learning approaches and investigation of redundancy in small biomarker sets

Lena Scheubert13, Mitja Luštrek2, Rainer Schmidt3, Dirk Repsilber4* and Georg Fuellen35*

Author Affiliations

1 Institute of Computer Science, University of Osnabrück, Albrechtstr. 28, 49076 Osnabrück, Germany

2 Department of Intelligent Systems, Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia

3 Institute for Biostatistics and Informatics in Medicine and Ageing Research, University of Rostock, Ernst-Heydemann-Str. 8, 18057 Rostock, Germany

4 Leibniz Institute for Farm Animal Biology (FBN Dummerstorf), , Wilhelm-Stahl Allee 2, 18196 Dummerstorf, Germany

5 DZNE, German Center for Neurodegenerative Disorders, Gehlsheimer Strasse 20, 18147 Rostock, Germany

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BMC Bioinformatics 2012, 13:266  doi:10.1186/1471-2105-13-266

Published: 15 October 2012

Additional files

Additional file 1:

Blast search for LOC642711.

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Additional file 2:

Comparison of the results obtained on the PLURI data set without the correct partitioning, the PLURI data set and the AD data set.

Format: PDF Size: 228KB Download file

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Additional file 3:

Partitioning of the AD data set.

Format: PDF Size: 29KB Download file

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Additional file 4:

Partitioning of the PLURI data set.

Format: PDF Size: 32KB Download file

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Open Data