Single-cell Mayo Map (scMayoMap): an easy-to-use tool for cell type annotation in single-cell RNA-sequencing data analysis

被引:0
作者
Lu Yang
Yan Er Ng
Haipeng Sun
Ying Li
Lucas C. S. Chini
Nathan K. LeBrasseur
Jun Chen
Xu Zhang
机构
[1] Mayo Clinic,Division of Computational Biology, Department of Quantitative Health Sciences
[2] Mayo Clinic,Center for Individualized Medicine
[3] Mayo Clinic,Robert and Arlene Kogod Center On Aging
[4] Rutgers University,Department of Biochemistry and Microbiology
[5] Mayo Clinic,Department of Quantitative Health Sciences
[6] Mayo Clinic,Department of Physical Medicine and Rehabilitation
[7] Mayo Clinic,Department of Biochemistry and Molecular Biology
来源
BMC Biology | / 21卷
关键词
Single-cell RNA-sequencing; Cell type annotation; Cell type markers; scMayoMap; scMayoMapDatabase;
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[1]  
Guo X(2018)Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing Nat Med 24 978-985
[2]  
Kim C(2018)Chemoresistance evolution in triple-negative breast cancer delineated by single-cell sequencing Cell 173 879-893.e13
[3]  
Tan Y(2019)SingleCellNet: a computational tool to classify single cell RNA-seq data across platforms and across species Cell Syst 9 207-213.e2
[4]  
Cahan P(2018)scmap: projection of single-cell RNA-seq data across data sets Nat Methods 15 359-362
[5]  
Kiselev VY(2021)Integrated analysis of multimodal single-cell data Cell 184 3573-3587.e29
[6]  
Yiu A(2019)SCINA: a semi-supervised subtyping algorithm of single cells and bulk samples Genes (Basel) 10 531-1015
[7]  
Hemberg M(2019)Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling Nat Methods 16 1007-D728
[8]  
Hao Y(2021)Fast and precise single-cell data analysis using a hierarchical autoencoder Nat Commun 12 1029-1107.e17
[9]  
Zhang Z(2023)A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data Commun Biol 6 545-D908
[10]  
Zhang AW(2020)scCATCH: automatic annotation on cell types of clusters from single-cell RNA sequencing data iScience 23 100882-172