Cargando…
iMDA-BN: Identification of miRNA-disease associations based on the biological network and graph embedding algorithm
Benefiting from advances in high-throughput experimental techniques, important regulatory roles of miRNAs, lncRNAs, and proteins, as well as biological property information, are gradually being complemented. As the key data support to promote biomedical research, domain knowledge such as intermolecu...
Autores principales: | Zheng, Kai, You, Zhu-Hong, Wang, Lei, Guo, Zhen-Hao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508695/ https://www.ncbi.nlm.nih.gov/pubmed/33005302 http://dx.doi.org/10.1016/j.csbj.2020.08.023 |
Ejemplares similares
-
Improved Multiple Displacement Amplification (iMDA) and Ultraclean Reagents
por: Motley, S Timothy, et al.
Publicado: (2014) -
BN-Embedded Perylenes
por: Fang, Xiangdong
Publicado: (2021) -
HLGNN-MDA: Heuristic Learning Based on Graph Neural Networks for miRNA–Disease Association Prediction
por: Yu, Liang, et al.
Publicado: (2022) -
EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network
por: Pang, Shanchen, et al.
Publicado: (2021) -
Total synthesis of nahuoic acid A via a putative biogenetic intramolecular Diels–Alder (IMDA) reaction
por: Guillade, Lucía, et al.
Publicado: (2021)