000BreastMark (NOTE: plugin can take ~2 mins to load)2013-08-17 01:14:47http://glados.ucd.ie/BreastMark/post_gene_default.cgi?name={{EntrezGene}}&DFS=RFS&median=median&lymph_positive=positive&lymph_negative=negative&LumA_pam50=LumA_pam50&LumB_pam50=LumB_pam50&Her2_pam50=Her2_pam502013-08-17 01:14:480.000.0asu/profile/3/asuAndrew Suhumanglados.ucd.ie1125identify subsets of genes/miRNAs that are associated with disease progression in breast cancer and its subtypesbiogpsuserspubliciframeNoneBreastMark is an algorithm we have developed that has allowed us to identify subsets of genes/miRNAs that are associated with disease progression in breast cancer and its subtypes i.e. a set of putative prognostic markers. This algorithm integrates gene expression microarrays which frequently also contain miRNA expression information, and detailed clinical data to correlate clinical outcome with differential gene/miRNA expression levels. This algorithm integrates gene expression and survival data from 26 datasets on 12 different microarray platforms corresponding to ~17,000 genes in up to 4,738 samples. It also allows us to examine the prognostic potential of 341 microRNAs. The accompanying manuscript is published and available here: https://www.ncbi.nlm.nih.gov/pubmed/23820017.