Cargando…
A Bipartite Network Module-Based Project to Predict Pathogen–Host Association
Pathogen–host interactions play an important role in understanding the mechanism by which a pathogen can infect its host. Some approaches for predicting pathogen–host association have been developed, but prediction accuracy is still low. In this paper, we propose a bipartite network module-based app...
Autores principales: | Li, Jie, Wang, Shiming, Chen, Zhuo, Wang, Yadong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992693/ https://www.ncbi.nlm.nih.gov/pubmed/32038713 http://dx.doi.org/10.3389/fgene.2019.01357 |
Ejemplares similares
-
Bipartite Heterogeneous Network Method Based on Co-neighbor for MiRNA-Disease Association Prediction
por: Chen, Min, et al.
Publicado: (2019) -
A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease Associations
por: Li, Shiru, et al.
Publicado: (2019) -
Community Detection in Large-Scale Bipartite Biological Networks
por: Calderer, Genís, et al.
Publicado: (2021) -
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks
por: Ma, Yuzhou, et al.
Publicado: (2023) -
LPI-IBNRA: Long Non-coding RNA-Protein Interaction Prediction Based on Improved Bipartite Network Recommender Algorithm
por: Xie, Guobo, et al.
Publicado: (2019)