Biomarker Benchmark - GSE31048

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"Wnt pathway is dysregulated in CLL-We characterized Wnt pathway gene expression in normal B and CLL-B cells and identified Wnt targets in normal B and CLL-B cells through this data set.In this dataset, we included normal B cells and CLL-B cells for Wnt pathway gene expression. This leads to the identification of 62 Wnt pathway components which are differnetially expressed between normal and CLl-B cells. We also included normal B cells and CLL-B cells with or without Wnt3a treatment and identified 468 and 676 Wnt regulated genes in normal and CLL B cells, respectively."
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE31048
We have included gene-expression data, the outcome (class) being predicted, and any clinical covariates. When gene-expression data were processed in multiple batches, we have provided batch information. Each data set is organized into a file set, where each contains all pertinent files for an individual dataset. The gene expression files have been normalized using both the SCAN and UPC methods using the SCAN.UPC package in Bioconductor (https://www.bioconductor.org/packages/release/bioc/html/SCAN.UPC.html). We summarized the data at the gene level using the BrainArray resource (http://brainarray.mbni.med.umich.edu/Brainarray/Database/CustomCDF/20.0.0/ensg.asp). We used Ensembl identifiers. The class, clinical, and batch data were hand curated to ensure consistency ("tidy data" formatting). In addition, the data files have been formatted to be imported easily into the ML-Flex machine learning package (http://mlflex.sourceforge.net/).