Integrating Multiple Heterogeneous Networks for Novel LncRNA-Disease Association Inference

Accumulating experimental evidence has indicated that long non-coding RNAs (lncRNAs) are critical for the regulation of cellular biological processes implicated in many human diseases. However, only relatively few experimentally supported lncRNA-disease associations have been reported. Developing ef...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics Jg. 16; H. 2; S. 396 - 406
Hauptverfasser:	Zhang, Jingpu, Zhang, Zuping, Chen, Zhigang, Deng, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Biological activity Cancer Cervical cancer Cervix Computation Computational Biology - methods Computer applications Computer networks Diseases flow propagation Genetic Association Studies Glioma heterogeneous network Heterogeneous networks Humans Identification methods LncRNA-disease Neoplasms - genetics Networks Ovarian cancer Predictive models Protein interaction Proteins Reproducibility Reproducibility of Results RNA RNA, Long Noncoding - genetics Similarity
ISSN:	1545-5963, 1557-9964, 1557-9964
Online-Zugang:	Volltext
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