Procrustes: A machine learning approach to remove cross-platform batch effects in clinical RNA sequencing
We have created Procrustes, a machine learning algorithm, to address batch effects in RNA sequencing (RNA-seq) data caused by different sample preparation methods such as exome capture (EC)-based and poly-A RNA-seq protocols. This development is crucial for personalized oncology, where gene expression profiling is increasingly used, necessitating RNA-seq protocols and algorithms that ensure consistent expression measurements between these different methods.