Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously

Casey Greene, PhD, professor and chair of the CU Department of Biomedical Informatics, was published in Nature Communications Biology on the journal's fifth anniversary. He and the other two researchers find that quantile and Training Distribution Matching normalization allow for supervised and unsupervised model training on microarray and RNA-seq data simultaneously.