PedroMilanezAlmeida/TumorShallowSeq

#artificialintelligence 

With the help of one example, we show how a dramatic reduction in RNA sequencing depth has little to no impact on the performance of machine learning-based linear Cox models that predict disease outcome based on tumor gene expression. Since this analysis is peformed in R, if you have not installed it yet, you can follow the intructions in https://cran.r-project.org/. In case R is installed, it needs to be version 3.6.1 or higher for this example to work. The following code can help determine if R needs to be updated. In this example, we will use adrenocortical carcinoma (ACC) to demonstrate how a drastic reduction in RNA-seq depth still gives enough information to predict the relative risk of adverse outcome of disease.