Novel human lncRNA-disease association inference based on lncRNA expression profiles

By Xing Chen, Guiying Yan. Bioinform., 2013

549 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/11a9de09577bbbedf10bd2855a248afeb891f0d1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

1. Xing Chen
2. Zhuhong You
3. Chenggang Clarence Yan
4. Xu Zhang
5. Qinghua Cui
6. Zhou Huang
7. Zhen Yang
8. Zhenyu Bao

In Molecular Biology

1. Xing Chen
2. Zhuhong You
3. Chenggang Clarence Yan
4. Xu Zhang
5. Qinghua Cui
6. Zhou Huang
7. Zhen Yang
8. Zhenyu Bao

Citations in the corpus

• LncRNADisease 2.0: an updated database of long non-coding RNA-associated diseases (2018, methodology): “For computationally supported data, the results predicted based on four algorithms (LRLSLDA (17), LDAP (18), RWRlncD (19) and LncDisease (20)) were derived.”
• Long non-coding RNAs and complex diseases: from experimental results to computational models (2016, methodology): “…help understand the biogenesis, regulation and function of lncRNAs and human disease molecular mechanism at lncRNA level, identify the associations between lncRNAs and diseases and design biomarker and drug for human disease diagnosis, treatment, prognosis and prevention [7, 8, 35, 201, 203, 204].”