High-grade serous ovarian cancer (HG-SOC) is the most lethal gynecologic malignancy, in large part because most patients present with late-stage disease and receive the same therapeutic regimen despite significant heterogeneity in disease and clinical response.
Compressed sensing has revolutionized signal acquisition by enabling high dimensional signals to be measured with remarkable fidelity using a small number of so-called incoherent sensors.
GateFinder is a flexible, automated, objective algorithm that quickly analyzes complex mass cytometry datasets to identify simple signatures (“gates”) for FACS (fluorescent automated cell sorting) purification.
Stanford researchers have developed a versatile computational approach for easily visualizing and analyzing multidimensional molecular data, such as flow cytometry data.