Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2016 Jun 9;34(6):591-3.
doi: 10.1038/nbt.3498.

The contribution of cell cycle to heterogeneity in single-cell RNA-seq data

Andrew McDavid  1 , Greg Finak  1 , Raphael Gottardo  1
Affiliations
Comment

The contribution of cell cycle to heterogeneity in single-cell RNA-seq data

Andrew McDavid et al. Nat Biotechnol. .
No abstract available

PubMed Disclaimer

Figures

Figure 1
Figure 1
Correlations and pairwise relationships between principal components analysis (PCA) components 1–3, geometric library size, cell cycle (derived through Hoechst staining), and the scLVM latent factor in the mESC data set.
See this image and copyright information in PMC

Comment in

Comment on

References

    1. Buettner F, et al. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nature Biotechnology. 2015;33:155–160. - PubMed
    1. McDavid A, et al. Modeling Bi-modality Improves Characterization of Cell Cycle on Gene Expression in Single Cells. PLoS Comput Biol. 2014;10:e1003696. - PMC - PubMed
    1. Risso D, Ngai J, Speed TP, Dudoit S. Normalization of RNA-seq data using factor analysis of control genes or samples. Nature Biotechnology. 2014;32:896–902. - PMC - PubMed
    1. Padovan-Merhar O, et al. Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms. Mol Cell. 2015;58:339–352. - PMC - PubMed
    1. Gagnon-Bartsch JA, Speed TP. Using control genes to correct for unwanted variation in microarray data. Biostatistics. 2012;13:539–552. - PMC - PubMed

LinkOut - more resources