https://www.selleckchem.com/products/ly333531.html
This paper examines the effect of TET1 expression on survival in glioma patients using open-access data from the Genomic Data Commons. A neural network-based survival model was built on expression data from a selection of genes most affected by TET1 knockdown with a median cross-validated survival concordance of 82.5%. A synthetic experiment was then conducted that linked two separately trained neural networks a multitask model estimating cancer hallmark gene expression from TET1 expression, and a survival neural network. This experime
Like
Comment
Share
