Cargando…
Fast, sensitive, and accurate integration of single cell data with Harmony
The emerging diversity of single cell RNAseq datasets allows for the full transcriptional characterization of cell types across a wide variety of biological and clinical conditions. However, it is challenging to analyze them together, particularly when datasets are assayed with different technologie...
Autores principales: | Korsunsky, Ilya, Millard, Nghia, Fan, Jean, Slowikowski, Kamil, Zhang, Fan, Wei, Kevin, Baglaenko, Yuriy, Brenner, Michael, Loh, Po-ru, Raychaudhuri, Soumya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884693/ https://www.ncbi.nlm.nih.gov/pubmed/31740819 http://dx.doi.org/10.1038/s41592-019-0619-0 |
Ejemplares similares
-
Maximizing statistical power to detect differentially abundant cell states with scPOST
por: Millard, Nghia, et al.
Publicado: (2021) -
Efficient and precise single-cell reference atlas mapping with Symphony
por: Kang, Joyce B., et al.
Publicado: (2021) -
SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci
por: Slowikowski, Kamil, et al.
Publicado: (2014) -
Lymphocyte innateness defined by transcriptional states reflects a balance between proliferation and effector functions
por: Gutierrez-Arcelus, Maria, et al.
Publicado: (2019) -
Fast and accurate long-range phasing in a UK Biobank cohort
por: Loh, Po-Ru, et al.
Publicado: (2016)