Classifying Osteosarcoma Using Meta-Analysis of Gene Expression

Abstract

Meta-analysis of gene expression provides the opportunity to compare gene expression across different platforms. In this paper, we use a meta-analysis of RNA-seq data collected by the SJTU team and publicly available microarray data to build a Random Forest classification model. The Random Forest model had average accuracy of 74.1% for cross-validation in the training set and achieved accuracy of 80.0% on the testing set.