Single-cell RNA-seq denoising using a deep count autoencoder

Gökçen Eraslan; Lukas M. Simon; Maria Mircea; Nikola S. Mueller; Fabian J. Theis

doi:10.1038/s41467-018-07931-2

Keywords

Computer scienceImputation (statistics)AutoencoderCount dataNoise reductionNegative binomial distributionOverdispersionArtificial intelligencePattern recognition (psychology)Data miningScalabilityNoise (video)Machine learningMissing dataPoisson distributionArtificial neural networkStatisticsMathematics

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Publication Info

Year: 2019
Type: article
Volume: 10
Issue: 1
Pages: 390-390
Citations: 1048
Access: Closed

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APA Style

                            
                                
                                    Gökçen Eraslan, 
                                
                                    Lukas M. Simon, 
                                
                                    Maria Mircea
                                
                                et al.
                            
                            (2019). 
                            Single-cell RNA-seq denoising using a deep count autoencoder. 
                            Nature Communications
                            , 10
                            (1)
                            , 390-390.
                            https://doi.org/10.1038/s41467-018-07931-2
                        

Identifiers

DOI: 10.1038/s41467-018-07931-2