Deep generative modeling for single-cell transcriptomics

Keywords

Computer scienceInferenceGenerative modelExpression (computer science)ScalabilityArtificial intelligenceSensitivity (control systems)VisualizationRepresentation (politics)Bayesian probabilityData miningCluster analysisNoise (video)Machine learningGenerative grammar

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Publication Info

Year: 2018
Type: article
Volume: 15
Issue: 12
Pages: 1053-1058
Citations: 2246
Access: Closed

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APA Style

                            
                                
                                    Romain Lopez, 
                                
                                    Jeffrey Regier, 
                                
                                    Michael B. Cole
                                
                                et al.
                            
                            (2018). 
                            Deep generative modeling for single-cell transcriptomics. 
                            Nature Methods
                            , 15
                            (12)
                            , 1053-1058.
                            https://doi.org/10.1038/s41592-018-0229-2
                        

Identifiers

DOI: 10.1038/s41592-018-0229-2