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Cited by in F6Publishing
For: Pasquini G, Rojo Arias JE, Schäfer P, Busskamp V. Automated methods for cell type annotation on scRNA-seq data. Comput Struct Biotechnol J 2021;19:961-9. [PMID: 33613863 DOI: 10.1016/j.csbj.2021.01.015] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Shao X, Yang H, Zhuang X, Liao J, Yang P, Cheng J, Lu X, Chen H, Fan X. scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network. Nucleic Acids Res 2021:gkab775. [PMID: 34500471 DOI: 10.1093/nar/gkab775] [Reference Citation Analysis]
2 Ma W, Su K, Wu H. Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction. Genome Biol 2021;22:264. [PMID: 34503564 DOI: 10.1186/s13059-021-02480-2] [Reference Citation Analysis]
3 Attaf N, Baaklini S, Binet L, Milpied P. Heterogeneity of germinal center B cells: New insights from single-cell studies. Eur J Immunol 2021. [PMID: 34324199 DOI: 10.1002/eji.202149235] [Reference Citation Analysis]