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URL: https://www.zurich.ibm.com/cellcycletracer/
Proper Citation: CellCycleTRACER (RRID:SCR_017128)
Description: Software tool as supervised machine learning algorithm that classifies and sorts single cell mass cytometry data according to their cell cycle, which allows to correct for cell cycle state and cell volume heterogeneity. Reveals signaling relationships and cell heterogeneity that were otherwise masked. Computational method to quantify cell cycle and cell volume variability.
Resource Type: software resource, data access protocol, web service, software application, data analysis software, data processing software
Defining Citation: PMID:29434325
Keywords: classify, sort, single, cell, mass, cytometry, data, cycle, state, volume, heterogeneity, quantify, volume, variability
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