TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph

@inproceedings{Ding2018TPGLDANP,
  title={TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph},
  author={Liang Ding and Minghui Wang and Dongdong Sun and Ao Li},
  booktitle={Scientific Reports},
  year={2018}
}
Accumulating evidences have indicated that lncRNAs play an important role in various human complex diseases. However, known disease-related lncRNAs are still comparatively small in number, and experimental identification is time-consuming and labor-intensive. Therefore, developing a useful computational method for inferring potential associations between lncRNAs and diseases has become a hot topic, which can significantly help people to explore complex human diseases at the molecular level and… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 11 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 63 REFERENCES

Long non-coding RNA PVT1 promotes osteosarcoma development by acting as a molecular sponge to regulate miR195

Q Zhou
  • Oncotarget 7,
  • 2016

Cancer statistics ,

F.-q Nie
  • CA : a cancer journal for clinicians
  • 2015