Accounting for technical noise in single-cell RNA-seq experiments.
Single-cell RNA-seq can yield valuable insights about the variability within a population of seemingly homogeneous cells. We developed a quantitative statistical method to distinguish true biological variability from the high levels of technical noise in single-cell experiments. Our approach quantifies the statistical significance of observed cell-to-cell variability in expression strength on a gene-by-gene basis. We validate our approach using two independent data sets from Arabidopsis thaliana and Mus musculus.
1] European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. [2].
Philip
P
Brennecke
Simon
S
Anders
Jong Kyoung
JK
Kim
Aleksandra A
AA
Kołodziejczyk
Xiuwei
X
Zhang
Valentina
V
Proserpio
Bianka
B
Baying
Vladimir
V
Benes
Sarah A
SA
Teichmann
John C
JC
Marioni
Marcus G
MG
Heisler
D017423:Sequence Analysis, RNA / Q000379:methods*; D059010:Single-Cell Analysis