GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE133nnn/GSE133012/primaryOK200GenomicsHomo sapiensExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE133012GEOGSEfalseMeasuring the transcriptomic response to targeting kinases correlated with estrogen receptor activity in Breast CancerWe undertook a phosophotranscriptomic network analysis of published patient tumour RNA-seq and phosphoproteomic data to identify kinases that correltated with Estrogen Receptor activity in Breast Cancer. The most sucessful canidates were selected for targeting by siRNA and the effects monitored by RNA-seq. The code for generation of the expression matrix is available from https://github.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 sapiens