Here are the related code and data in the paper titled:


"Which statistical significance test best detects oncomiRNAs in cancer tissues? An exploratory analysis".



The original miRNA-seq expression data were extrated from TCGA database;

Then we applied 6 methods (t-test, Limma, DESeq, edgeR, LRT and MARS) on these 5 datasets, and got the every 6 results in csv format in every dataset;

The miRNA in true class were obtained from two web1 and web2;

web1: Infer microRNA-disease association;

web2: HMDD 2.0

Finally, we could get the performance(include ROC and AUC) of every dataset through applying those 2 R codes


If you have any questions about the above data, feel free to contact:


Tang, Wei: