Dataset for: Identification of cancer-related potential biomarkers based on lncRNA-pseudogene-mRNA competitive networks

Accumulating evidences indicate that mRNAs and ncRNAs act as competitive endogenous RNAs and play a key role in tumorigenesis. However, the complex competitive relationship among genes remains unknown. In our study, the lncRNAs, pseudogenes and mRNAs that compete with the common miRNAs are defined as lncRNA-pseudogene-mRNA competitive triples. We find some candidate ceRNAs, modules and triples are related with cancers and can significantly divide patients into high-risk and low-risk groups, and thus they may serve as potential cancer biomarkers. In total, the work systematically analyzes the association between competitive triples and cancer, which will provide a reference for deep understanding of cancer progression.