Cargando…
Projection-Based Neighborhood Non-Negative Matrix Factorization for lncRNA-Protein Interaction Prediction
Many long ncRNAs (lncRNA) make their effort by interacting with the corresponding RNA-binding proteins, and identifying the interactions between lncRNAs and proteins is important to understand the functions of lncRNA. Compared with the time-consuming and laborious experimental methods, more and more...
Autores principales: | Ma, Yingjun, He, Tingting, Jiang, Xingpeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880730/ https://www.ncbi.nlm.nih.gov/pubmed/31824563 http://dx.doi.org/10.3389/fgene.2019.01148 |
Ejemplares similares
-
IRWNRLPI: Integrating Random Walk and Neighborhood Regularized Logistic Matrix Factorization for lncRNA-Protein Interaction Prediction
por: Zhao, Qi, et al.
Publicado: (2018) -
Predicting lncRNA–Protein Interaction With Weighted Graph-Regularized Matrix Factorization
por: Sun, Xibo, et al.
Publicado: (2021) -
MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation
por: Ma, Yingjun, et al.
Publicado: (2019) -
SPCMLMI: A structural perturbation-based matrix completion method to predict lncRNA–miRNA interactions
por: Wang, Mei-Neng, et al.
Publicado: (2022) -
Interaction Between LncRNA and UPF1 in Tumors
por: He, Junjian, et al.
Publicado: (2021)