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Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

Background Gene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for transcriptome-based applications beyond the limitations of microarrays, we sought to systematically evaluate the performance of RNA-seq-based and microarray-based classifiers in this MAQC-III/SEQC study...

The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies

Barbacioru Vincent Bertholet Xiaoxi Megan Cao Tzu- Ming Chu Patrick J Collins Xiao-hui Fan Felix W Frueh James C Fuscoe Xu Guo Jing Han Damir Herman Huixiao Hong Ernest S Kawasaki Quan-Zhen Li Yuling