Cargando…
Cell type hierarchy reconstruction via reconciliation of multi-resolution cluster tree
A wealth of clustering algorithms are available for single-cell RNA sequencing (scRNA-seq) data to enable the identification of functionally distinct subpopulations that each possess a different pattern of gene expression activity. Implementation of these methods requires a choice of resolution para...
Autores principales: | Peng, Minshi, Wamsley, Brie, Elkins, Andrew G, Geschwind, Daniel H, Wei, Yuting, Roeder, Kathryn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450107/ https://www.ncbi.nlm.nih.gov/pubmed/34125905 http://dx.doi.org/10.1093/nar/gkab481 |
Ejemplares similares
-
Integration and transfer learning of single-cell transcriptomes via cFIT
por: Peng, Minshi, et al.
Publicado: (2021) -
Efficient reconstruction of cell lineage trees for cell ancestry and cancer
por: Jang, Yeongjun, et al.
Publicado: (2023) -
Incorporating cell hierarchy to decipher the functional diversity of single cells
por: Chen, Lingxi, et al.
Publicado: (2022) -
ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational time
por: Cai, Yunpeng, et al.
Publicado: (2011) -
Performance comparison between k-tuple distance and four model-based distances in phylogenetic tree reconstruction
por: Yang, Kuan, et al.
Publicado: (2008)