Breast cancer profiling with transcriptomic analysis
November 2017
University of Granada, Granada, Spain
A combination of heterogeneous transcriptomics datasets is used to generate a new model to profile human breast cancer to increase the robustness of the results. This method allowed for the identification of 98 potential biomarkers that, after a classification and selection process, were reduced to 6 gene markers for breast cancer diagnosis. In summary, this study presents a new tool to classify and diagnose human breast cancer.
Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling
Daniel Castillo
Added on: 07-30-2021
[1] https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1925-0[2] https://data.jrc.ec.europa.eu/dataset/ffebe454-ed9a-47cf-8a33-8cf70c1b7d38
