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Papers: 10.1371/journal.pcbi.1003365

https://doi.org/10.1371/journal.pcbi.1003365

Flow Cytometry Bioinformatics

Cited by: 85
Author(s): Kieran O’Neill, Nima Aghaeepour, Josef Špidlen, Ryan R. Brinkman
Published: over 11 years ago

Software Mentions 7

bioconductor: flowClust
Clustering for Flow Cytometry
Papers that mentioned: 33
Very Likely Science (90)
bioconductor: flowMeans
Non-parametric Flow Cytometry Data Gating
Papers that mentioned: 17
Very Likely Science (90)
bioconductor: flowPeaks
An R package for flow data clustering
Papers that mentioned: 11
Very Likely Science (75)
bioconductor: flowTrans
Parameter Optimization for Flow Cytometry Data Transformation
Papers that mentioned: 6
Very Likely Science (85)
bioconductor: flowUtils
Papers that mentioned: 4
Unlikely Science (0)
bioconductor: SamSPECTRAL
Identifies cell population in flow cytometry data
Papers that mentioned: 11
Very Likely Science (98)
cran: FLAME
Interpretable Matching for Causal Inference
Papers that mentioned: 256
Likely Science (50)