Normalizing and denoising protein expression data from droplet-based single cell profiling
Mulè M, Martins A, Tsang J. Normalizing and denoising protein expression data from droplet-based single cell profiling. Nature Communications 2022, 13: 2099. PMID: 35440536, PMCID: PMC9018908, DOI: 10.1038/s41467-022-29356-8.Peer-Reviewed Original ResearchConceptsProtein expression dataSingle-cell profiling methodsExpression dataSingle-cell profilingOligo-conjugated antibodiesTechnical noiseProtein populationCITE-seqCellular heterogeneityComprehensive dissectionDownstream analysisCell profilingDSBsSingle cellsProtein levelsProtein expressionCell populationsOpen-source R packageProfiling methodProtein countsEmpty dropletsR packageComputational analysisCellsBiological variationA crowdsourcing approach for reusing and meta-analyzing gene expression data
Shah N, Guo Y, Wendelsdorf K, Lu Y, Sparks R, Tsang J. A crowdsourcing approach for reusing and meta-analyzing gene expression data. Nature Biotechnology 2016, 34: 803-806. PMID: 27323300, PMCID: PMC6871002, DOI: 10.1038/nbt.3603.Peer-Reviewed Original Research