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Gene expression data from ependymal tumor samples

GSE64415 Homo sapiens Expression profiling by array 209 samples Submitted 2015/05/21 Platform GPL570
Summary
Ependymal tumors across age groups have been classified and graded solely by histopathology. It is, however, commonly accepted that this classification scheme has limited clinical utility based on its lack of reproducibility in predicting patient outcome. We aimed at establishing a reliable molecular classification using DNA methylation fingerprints and gene expression data of the tumors on a large cohort of 500 tumors. Nine robust molecular subgroups, three in each anatomic compartment of the central nervous system (CNS), were identified.
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Direct links to NCBI, no account and no request form: the whole study as GSE64415_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 209 samples.

Also filed as BioProject PRJNA270979. Searching any of these in the dataset finder brings you back here.

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