Dataset for: Identification of cancer-related potential biomarkers based on lncRNA-pseudogene-mRNA competitive networks Yan Xu Cheng Wu Yunzhen Wei Yinling Zhu Kun Li Yanjiao Zhu Yichuan Zhao Zhiqiang Chang 10.6084/m9.figshare.5884930.v1 https://wiley.figshare.com/articles/dataset/Dataset_for_Identification_of_cancer-related_potential_biomarkers_based_on_lncRNA-pseudogene-mRNA_competitive_networks/5884930 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. 2018-05-07 11:53:52 competitive triples cancer biomarkers Biophysics Synthetic Biology Biochemistry Plant Biology Virology Receptors and Membrane Biology Computational Biology Immunology Neuroscience Cell Development, Proliferation and Death Molecular Biology Evolutionary Biology Signal Transduction Cancer Cell Biology Systems Biology Structural Biology