2022
Zero-preserving imputation of single-cell RNA-seq data
Linderman GC, Zhao J, Roulis M, Bielecki P, Flavell RA, Nadler B, Kluger Y. Zero-preserving imputation of single-cell RNA-seq data. Nature Communications 2022, 13: 192. PMID: 35017482, PMCID: PMC8752663, DOI: 10.1038/s41467-021-27729-z.Peer-Reviewed Original ResearchConceptsSingle-cell RNA-sequencing dataSingle-cell RNA-seq dataNon-expressed genesRNA-sequencing dataRNA-seq dataExpression levelsBiological datasetsGenes
2019
Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data
Linderman GC, Rachh M, Hoskins JG, Steinerberger S, Kluger Y. Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data. Nature Methods 2019, 16: 243-245. PMID: 30742040, PMCID: PMC6402590, DOI: 10.1038/s41592-018-0308-4.Peer-Reviewed Original ResearchConceptsSingle-cell RNA sequencing dataSingle-cell RNA-seq dataRNA sequencing dataRNA-seq dataRare cell populationsScRNA-seqExpression patternsCell populations