PuSH - Publication Server of Helmholtz Zentrum München

7 Records found.
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1.
Wolf, F.A. et al.: PAGA: Graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells. Genome Biol. 20:59 (2019)
2.
Regev, A.* et al.: The Human Cell Atlas. eLife 6:e27041 (2017)
3.
Wilson, N.K.* et al.: Combined single-cell functional and gene expression analysis resolves heterogeneity within stem cell populations. Cell Stem Cell 16, 712-724 (2015)
4.
Buettner, F. ; Moignard, V.* ; Göttgens, B.* & Theis, F.J.: Probabilistic PCA of censored data: Accounting for uncertainties in the visualisation of high-throughput single-cell qPCR data. Bioinformatics 30, 1867-1875 (2014)
5.
Moignard, V.* et al.: Decoding the transcriptional program for blood development from whole tissue single-cell gene expression measurements. Exp. Hematol. 42, S52 (2014)
6.
Moignard, V.* et al.: Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis. Nat. Cell Biol. 15, 363-372 (2013)
7.
Swiers, G.* et al.: Early dynamic fate changes in haemogenic endothelium characterized at the single-cell level. Nat. Commun. 4:2924 (2013)