scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets

Concerted examination of multiple collections of single-cell RNA sequencing (RNA-seq) data promises further biological insights that cannot be uncovered with individual datasets. Here we present scMerge, an algorithm that integrates multiple single-cell RNA-seq datasets using factor analysis of stab...

Full beskrivning

Sparad:
Bibliografiska uppgifter
I publikationen:Proc Natl Acad Sci U S A
Huvudupphovsmän: Lin, Yingxin, Ghazanfar, Shila, Wang, Kevin Y. X., Gagnon-Bartsch, Johann A., Lo, Kitty K., Su, Xianbin, Han, Ze-Guang, Ormerod, John T., Speed, Terence P., Yang, Pengyi, Yang, Jean Yee Hwa
Materialtyp: Artigo
Språk:Inglês
Publicerad: National Academy of Sciences 2019
Ämnen:
PNAS Plus
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6525515/
https://ncbi.nlm.nih.gov/pubmed/31028141
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1820006116
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk