Background Coping with high dimensional markers, such as gene expression data

Background Coping with high dimensional markers, such as gene expression data obtained using microarray chip technology or genomics studies, is a key challenge because the numbers of features greatly exceeds the number of biological samples. we also propose treating the compound score as a random covariate, to achieve more appropriate results and improve study power… Continue reading Background Coping with high dimensional markers, such as gene expression data