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