Year: 2016
Type: article
Abstract: Table S1 and Figure S1–S7. Table 1. Results of the two-sided t test analysis for receptor positive and negative disease for gene methylation markers in the training dataset and TCGA (validation dataset). Figure S1. Hierarchical clustering (HCL) of DNA methylation data to identify groups of patients with ER/PR-positive disease. Figure S2. Results of SAM supervised classification of ER/PR status from β values using TCGA dataset. Figure S3. Integration of three platforms. Figure S4. Heat map of β values for individual probes of genes in Table 3. Figure S5. Correlation of DNA methylation with the level of gene expression across the genes in each tumor in TCGA data. Figure S6. Correlation of GoldenGate DNA methylation data with the level of expression for each gene across randomly selected tumors. Figure S7. Correlation of GoldenGate DNA methylation data with the level of expression for disease predictor genes. (PDF 8112 kb)
Source: Figshare
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2898746499