Nikitas Stamatopoulos, Daniel J. Egger, et al.
Quantum
Recent studies have shown that cell cycle and cell volume are confounding factors when studying biological phenomena in single cells. Here we present a combined experimental and computational method, CellCycleTRACER, to account for these factors in mass cytometry data. CellCycleTRACER is applied to mass cytometry data collected on three different cell types during a TNFα stimulation time-course. CellCycleTRACER reveals signaling relationships and cell heterogeneity that were otherwise masked.
Nikitas Stamatopoulos, Daniel J. Egger, et al.
Quantum
Sau Lan Wu, Shaojun Sun, et al.
PRResearch
Anton Robert, Panagiotis Kl. Barkoutsos, et al.
npj Quantum Information
Federico Gossi, Pushpak Pati, et al.
Briefings in Bioinformatics