Papers: 10.1186/s12859-019-3294-3

https://doi.org/10.1186/s12859-019-3294-3

Model-based cell clustering and population tracking for time-series flow cytometry data

Cited by: 9
Author(s): Kodai Minoura, Kayoko Abe, Yuka Maeda, Hiroyoshi Nishikawa, Teppei Shimamura
Published: almost 7 years ago

Software Mentions 3

bioconductor: flowMeans
Non-parametric Flow Cytometry Data Gating
Papers that mentioned: 17
Very Likely Science (90)
bioconductor: FlowSOM
Using self-organizing maps for visualization and interpretation of cytometry data
Papers that mentioned: 177
Very Likely Science (75)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell data
Papers that mentioned: 96
Very Likely Science (100)