Cargando…
MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics
Single cell experimental techniques reveal transcriptomic and epigenetic heterogeneity among cells, but how these are related is unclear. We present MATCHER, an approach for integrating multiple types of single cell measurements. MATCHER uses manifold alignment to infer single cell multi-omic profil...
Autores principales: | Welch, Joshua D., Hartemink, Alexander J., Prins, Jan F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525279/ https://www.ncbi.nlm.nih.gov/pubmed/28738873 http://dx.doi.org/10.1186/s13059-017-1269-0 |
Ejemplares similares
-
SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data
por: Welch, Joshua D., et al.
Publicado: (2016) -
Spatiotemporal clustering of the epigenome reveals rules of dynamic gene regulation
por: Yu, Pengfei, et al.
Publicado: (2013) -
PhenoDB, GeneMatcher and VariantMatcher, tools for analysis and sharing of sequence data
por: Wohler, Elizabeth, et al.
Publicado: (2021) -
scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles
por: Jin, Suoqin, et al.
Publicado: (2020) -
Finding regulatory DNA motifs using alignment-free evolutionary conservation information
por: Gordân, Raluca, et al.
Publicado: (2010)