Cargando…
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
BACKGROUND: Single-cell transcriptomics allows researchers to investigate complex communities of heterogeneous cells. It can be applied to stem cells and their descendants in order to chart the progression from multipotent progenitors to fully differentiated cells. While a variety of statistical and...
Autores principales: | Street, Kelly, Risso, Davide, Fletcher, Russell B., Das, Diya, Ngai, John, Yosef, Nir, Purdom, Elizabeth, Dudoit, Sandrine |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6007078/ https://www.ncbi.nlm.nih.gov/pubmed/29914354 http://dx.doi.org/10.1186/s12864-018-4772-0 |
Ejemplares similares
-
Bioconductor workflow for single-cell RNA sequencing: Normalization, dimensionality reduction, clustering, and lineage inference
por: Perraudeau, Fanny, et al.
Publicado: (2017) -
clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets
por: Risso, Davide, et al.
Publicado: (2018) -
A Latent Activated Olfactory Stem Cell State Revealed by Single Cell Transcriptomic and Epigenomic Profiling
por: den Berge, Koen Van, et al.
Publicado: (2023) -
Dictionary learning allows model-free pseudotime estimation of transcriptomic data
por: Rams, Mona, et al.
Publicado: (2022) -
LVPT: Lazy Velocity Pseudotime Inference Method
por: Mao, Shuainan, et al.
Publicado: (2023)