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scVAE: variational auto-encoders for single-cell gene expression data.

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第一作者： Christopher Heje,Grønbech

第一单位： Department of Biology, Bioinformatics Centre, University of Copenhagen.;Centre for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, København Ø 2100, Denmark.;Section for Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby 2800, Denmark.

作者： Christopher Heje,Grønbech ^[1] ; Maximillian Fornitz,Vording ^[2] ; Pascal N,Timshel ^[3] ; Casper Kaae,Sønderby ^[4] ; Tune H,Pers ^[3] ; Ole,Winther ^[1]

作者单位： Department of Biology, Bioinformatics Centre, University of Copenhagen.;Centre for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, København Ø 2100, Denmark.;Section for Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby 2800, Denmark. ^[1] Section for Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby 2800, Denmark. ^[2] Faculty of Health and Medical Sciences, The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, København N 2200, Denmark. ^[3] Department of Biology, Bioinformatics Centre, University of Copenhagen. ^[4]

医学主题词基因表达谱(Gene Expression Profiling);似然函数(Likelihood Functions);序列分析, RNA(Sequence Analysis, RNA);单细胞分析(Single-Cell Analysis);软件(Software)

DOI 10.1093/bioinformatics/btaa293

PMID 32415966

发布时间 2021-02-18

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