Papers: 10.3390/cancers13040629
https://doi.org/10.3390/cancers13040629
Unsupervised Flow Cytometry Analysis Allows for an Accurate Identification of Minimal Residual Disease Assessment in Acute Myeloid Leukemia
Cited by: 20
Author(s): Jean Vial, Nicolas Lechevalier, Francis Lacombe, Pierre‐Yves Dumas, Audrey Bidet, Thibaut Leguay, François Vergez, Arnaud Pigneux, Marie C. Béné
Published: over 4 years ago
Software Mentions 2
bioconductor: FlowSOM
Using self-organizing maps for visualization and interpretation of cytometry dataPapers that mentioned: 177
Very Likely Science (75)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell dataPapers that mentioned: 96
Very Likely Science (100)