Cargando…
scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data
BACKGROUND: Single-cell RNA-sequencing (scRNA-seq) is fast becoming a powerful tool for profiling genome-scale transcriptomes of individual cells and capturing transcriptome-wide cell-to-cell variability. However, scRNA-seq technologies suffer from high levels of technical noise and variability, hin...
Autores principales: | Ye, Wenbin, Ji, Guoli, Ye, Pengchao, Long, Yuqi, Xiao, Xuesong, Li, Shuchao, Su, Yaru, Wu, Xiaohui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505295/ https://www.ncbi.nlm.nih.gov/pubmed/31068142 http://dx.doi.org/10.1186/s12864-019-5747-5 |
Ejemplares similares
-
Cluster analysis of replicated alternative polyadenylation data using canonical correlation analysis
por: Ye, Wenbin, et al.
Publicado: (2019) -
NPF:network propagation for protein function prediction
por: Zhao, Bihai, et al.
Publicado: (2020) -
An efficient scRNA-seq dropout imputation method using graph attention network
por: Xu, Chenyang, et al.
Publicado: (2021) -
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
por: Mukherjee, Sumit, et al.
Publicado: (2018) -
Impact of data preprocessing on cell-type clustering based on single-cell RNA-seq data
por: Wang, Chunxiang, et al.
Publicado: (2020)