Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression

BACKGROUND: In human genomes, long non-coding RNAs (lncRNAs) have attracted more and more attention because their dysfunctions are involved in many diseases. However, the associations between lncRNAs and diseases (LDA) still remain unknown in most cases. While identifying disease-related lncRNAs in...

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Detalles Bibliográficos
Autores principales: Shi, Jian-Yu, Huang, Hua, Zhang, Yan-Ning, Long, Yu-Xi, Yiu, Siu-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763297/
https://www.ncbi.nlm.nih.gov/pubmed/29322937
http://dx.doi.org/10.1186/s12920-017-0305-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763297/
https://www.ncbi.nlm.nih.gov/pubmed/29322937
http://dx.doi.org/10.1186/s12920-017-0305-y

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