Cargando…
A robust semi-supervised NMF model for single cell RNA-seq data
BACKGROUND: Single-cell RNA-sequencing (scRNA-seq) technology is a powerful tool to study organism from a single cell perspective and explore the heterogeneity between cells. Clustering is a fundamental step in scRNA-seq data analysis and it is the key to understand cell function and constitutes the...
Autores principales: | Wu, Peng, An, Mo, Zou, Hai-Ren, Zhong, Cai-Ying, Wang, Wei, Wu, Chang-Peng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571410/ https://www.ncbi.nlm.nih.gov/pubmed/33088619 http://dx.doi.org/10.7717/peerj.10091 |
Ejemplares similares
-
A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data
por: Srinivasan, Suhas, et al.
Publicado: (2020) -
SingleCAnalyzer: Interactive Analysis of Single Cell RNA-Seq Data on the Cloud
por: Prieto, Carlos, et al.
Publicado: (2022) -
BingleSeq: a user-friendly R package for bulk and single-cell RNA-Seq data analysis
por: Dimitrov, Daniel, et al.
Publicado: (2020) -
Gene representation in scRNA-seq is correlated with common motifs at the 3′ end of transcripts
por: Li, Xinling, et al.
Publicado: (2023) -
Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization
por: Zhu, Xun, et al.
Publicado: (2017)