Cargando…
RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction
Based on advancements in deep sequencing technology and microbiology, increasing evidence indicates that microbes inhabiting humans modulate various host physiological phenomena, thus participating in various disease pathogeneses. Owing to increasing availability of biological data, further studies...
Autores principales: | Niu, Ya-Wei, Qu, Cun-Quan, Wang, Guang-Hui, Yan, Gui-Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635699/ https://www.ncbi.nlm.nih.gov/pubmed/31354672 http://dx.doi.org/10.3389/fmicb.2019.01578 |
Ejemplares similares
-
Quantum walks on regular uniform hypergraphs
por: Liu, Ying, et al.
Publicado: (2018) -
Integrating random walk and binary regression to identify novel miRNA-disease association
por: Niu, Ya-Wei, et al.
Publicado: (2019) -
English News Text Recommendation Method Based on Hypergraph Random Walk Label Expansion
por: Wang, Zhehao
Publicado: (2022) -
PBHMDA: Path-Based Human Microbe-Disease Association Prediction
por: Huang, Zhi-An, et al.
Publicado: (2017) -
Connectivity of Random Geometric Hypergraphs
por: de Kergorlay, Henry-Louis, et al.
Publicado: (2023)