Work

Additional File 3_retina.xlsx

Year: 2017

Type: dataset

Abstract: 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 ̃.

Source: Figshare

DOI: 10.6084/m9.figshare.5471563

Authors: Buettner, Florian, Pratanwanich, Naruemon, McCarthy, Davis, Marioni, John, Stegle, Oliver

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4394552292

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Cited by: 1

Related to: 10