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Cited by in F6Publishing
For: Lotfollahi M, Rybakov S, Hrovatin K, Hediyeh-zadeh S, Talavera-lópez C, Misharin AV, Theis FJ. Biologically informed deep learning to infer gene program activity in single cells.. [DOI: 10.1101/2022.02.05.479217] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Michielsen L, Lotfollahi M, Strobl D, Sikkema L, Reinders MJ, Theis FJ, Mahfouz A. Single-cell reference mapping to construct and extend cell type hierarchies.. [DOI: 10.1101/2022.07.07.499109] [Reference Citation Analysis]
2 Boyeau P, Regier J, Gayoso A, Jordan MI, Lopez R, Yosef N. An Empirical Bayes Method for Differential Expression Analysis of Single Cells with Deep Generative Models.. [DOI: 10.1101/2022.05.27.493625] [Reference Citation Analysis]
3 Janizek JD, Spiro A, Celik S, Blue BW, Russell JC, Lee T, Kaeberlin M, Lee S. Principled feature attribution for unsupervised gene expression analysis.. [DOI: 10.1101/2022.05.03.490535] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Yates J, Barkmann F, Czyż P, Glettig M, Lohmann F, von der Horst R, Saquand E, Volken N, Kraft A, Boeva V. CanSig: Discovering de novo shared transcriptional programs in single cancer cells.. [DOI: 10.1101/2022.04.14.488324] [Reference Citation Analysis]