Papers: 10.1038/s42003-019-0415-5
https://doi.org/10.1038/s42003-019-0415-5
diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clustering
Cited by: 137
Author(s): Lukas M. Weber, Małgorzata Nowicka, Charlotte Soneson, Mark D. Robinson
Published: about 6 years ago
Software Mentions 12
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bioconductor: cydar
Using Mass Cytometry for Differential Abundance AnalysesPapers that mentioned: 6
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bioconductor: diffcyt
Differential discovery in high-dimensional cytometry via high-resolution clusteringPapers that mentioned: 18
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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bioconductor: FlowSOM
Using self-organizing maps for visualization and interpretation of cytometry dataPapers that mentioned: 177
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bioconductor: iCOBRA
Comparison and Visualization of Ranking and Assignment MethodsPapers that mentioned: 5
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pypi: voom
A python message bus that you can put 4 million volts through.Papers that mentioned: 136
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