Improving Model Performance on the Stratification of Breast Cancer Patients by Integrating Multiscale Genomic Features
Abstract In clinical cancer research, it is a hot topic on how to accurately stratify patients based on genomic data.…
Yiru Zhao
Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform
Abstract Background: The aim of gene expression-based clinical modelling in tumorigenesis is not only to accurately predict the clinical endpoints,…