Papers: 10.3390/mps4020028
https://doi.org/10.3390/mps4020028
The Transcriptome of SH-SY5Y at Single-Cell Resolution: A CITE-Seq Data Analysis Workflow
Cited by: 2
Author(s): Daniele Mercatelli, Nicola Balboni, Francesca De Giorgio, Emanuela Aleo, Caterina Garone, Federico M. Giorgi
Published: about 4 years ago
Software Mentions 9
bioconductor: monocle
Clustering, differential expression, and trajectory analysis for single- cell RNA-SeqPapers that mentioned: 60
Very Likely Science (100)
bioconductor: slalom
Factorial Latent Variable Modeling of Single-Cell RNA-Seq DataPapers that mentioned: 1
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pypi: monocle
An async programming framework with a blocking look-alike syntaxPapers that mentioned: 60
Very Likely Science (100)
pypi: slalom
Papers that mentioned: 1
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