A Pathway-Based Kernel Boosting Method for Sample Classification Using Genomic Data
A Pathway-Based Kernel Boosting Method for Sample Classification Using Genomic Data
The analysis of cancer genomic data has long suffered “the curse of dimensionality.” Sample sizes for most cancer genomic studies are a few hundreds at most while there are tens of thousands of genomic features studied. Various methods have been proposed to leverage prior biological knowledge, such as pathways, to …