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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s40478-020-01010-8

https://doi.org/10.1186/s40478-020-01010-8

Single-cell mass cytometry reveals complex myeloid cell composition in active lesions of progressive multiple sclerosis

Cited by: 34
Author(s): Chotima Böttcher, Marlijn van der Poel, Camila Fernández-Zapata, Stephan Schlickeiser, Julia Koehler Leman, Cheng-Chih Hsiao, Mark R. Mizee, Adelia, Maria C. J. Vincenten, Désirée Kunkel, Inge Huitinga, Jörg Hamann, Josef Priller
Published: almost 5 years ago

Software Mentions 5

bioconductor: ConsensusClusterPlus
ConsensusClusterPlus
Papers that mentioned: 313
Likely Science (50)
bioconductor: diffcyt
Differential discovery in high-dimensional cytometry via high-resolution clustering
Papers that mentioned: 18
Very Likely Science (100)
bioconductor: FlowSOM
Using self-organizing maps for visualization and interpretation of cytometry data
Papers that mentioned: 177
Very Likely Science (75)
pypi: CellProfiler
An open-source application for biological image analysis
Papers that mentioned: 1,504
Very Likely Science (100)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell data
Papers that mentioned: 96
Very Likely Science (100)