Year: 2013
Type: article
Abstract: The application of high throughput techniques to profile DNA, RNA and protein in breast cancer samples from hundreds of patients has profoundly increased our knowledge of the disease. However there remain many knowledge gaps that will require a long process of extended clinical correlation studies, deeper integrated 'omic analysis and functional annotation to address. This article reviews conclusions from recent breast cancer 'omics profiling' papers and considers pathways forward for extracting medically valuable information from large dimension data sets.
Source: The Breast
Author: Matthew J. Ellis
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,200
OpenAlex ID: W1968836535