Additional File 3_retina.xlsx
datasetposted on 04.10.2017, 19:51 by Florian BuettnerFlorian Buettner, Naruemon Pratanwanich, Davis McCarthy, John Marioni, Oliver Stegle
Additional Data for publication:
f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq, Florian Buettner; Naruemon Pratanwanich; Davis McCarthy; John Marioni; Oliver Stegle, Genome Biology, 2017
Retina residual dataset. Residual gene expression levels for 2,145 retina cells considered in Fig. 5c-e. The residual data were obtained by regressing out the most relevant unannotated factor as inferred by f-scLVM (Supp. Fig. 8a) from the pseudo-observations Y ̃.