https://www.selleckchem.com/products/otssp167.html
The results showed that DualRank outperformed competing methods and could identify biomarkers with the small quantity, great prediction performance (average AUC=0.818) and biological interpretability.Precise cancer subtype and/or stage prediction is instrumental for cancer diagnosis, treatment and management. However, most of the existing methods based on genomic profiles suffer from issues such as overfitting, high computational complexity and selected features (i.e., genes) not directly related to forecast precision. These deficienci
Like
Comment
Share
