articleTop 1% cited
Deep generative modeling for single-cell transcriptomics
Nature Methods · 2018 · Vol. 15(12) · pp. 1053–1058
Romain Lopez(University of California, Berkeley)Jeffrey Regier(University of California, Berkeley)Michael B. Cole(University of California, Berkeley)Michael I. Jordan(University of California, Berkeley)Nir Yosef✉(Ragon Institute of MGH, MIT and Harvard)
Single-cell and spatial transcriptomicsCell Image Analysis TechniquesGene expression and cancer classificationComputer scienceInferenceGenerative modelExpression (computer science)ScalabilityArtificial intelligenceSensitivity (control systems)VisualizationRepresentation (politics)Bayesian probability
MeSH terms
AlgorithmsAnimalsBrainHematopoietic Stem CellsHumansLeukocytes, MononuclearModels, BiologicalGenetic VariationCluster AnalysisSequence Analysis, RNAComputational BiologyMiceSingle-Cell AnalysisHigh-Throughput Nucleotide SequencingTranscriptome
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Nature Biotechnology · 2018 · 2,662 citations
SCANPY: large-scale single-cell gene expression data analysis
Genome biology · 2018 · 8,867 citations
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