An unsupervised feature extraction and selection strategy for identifying epithelial-mesenchymal transition state metrics in breast cancer and melanoma
The paper develops an unsupervised gene signature to identify epithelial-mesenchymal transition state metrics in breast cancer and melanoma using principal component analysis and resampling.
bioRxiv · Dec 13, 2019Cancer Biology