Investigating higher order interactions in single cell data with scHOT

Single-cell genomics has transformed our ability to examine cell fate choice. Examining cells along a computationally ordered “pseudotime” offers the potential to unpick subtle changes in variability and covariation among key genes. We describe a novel approach, scHOT – single cell Higher Order Test...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Gepubliceerd in:Nat Methods
Hoofdauteurs: Ghazanfar, Shila, Lin, Yingxin, Su, Xianbin, Lin, David Ming, Patrick, Ellis, Han, Ze Guang, Marioni, John C., Yang, Jean Yee Hwa
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2020
Onderwerpen:
Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7610653/
https://ncbi.nlm.nih.gov/pubmed/32661426
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-020-0885-x
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items