TY  - JOUR
AU  - Muchmore, B
AU  - Alarcón-Riquelme, M E
PY  - 2017
DO  - 10.1093/bioinformatics/btw707
UR  - http://hdl.handle.net/10668/10698
T2  - Bioinformatics (Oxford, England)
AB  - Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR...
LA  - en
KW  - Algorithms
KW  - Computational Biology
KW  - Flow Cytometry
KW  - Software
TI  - CymeR: cytometry analysis using KNIME, docker and R.
TY  - research article
VL  - 33
ER  -