Naoki Abe, Kathleen Buckingham, et al.
KDD 2023
With mass and flow cytometry, millions of single-cell profiles with dozens of parameters can be measured to comprehensively characterize complex tumor ecosystems. Here, we present scQUEST, an open-source Python library for cell type identification and quantification of tumor ecosystem heterogeneity in patient cohorts. We provide a step-by-step protocol on the application of scQUEST on our previously generated human breast cancer single-cell atlas using mass cytometry and discuss how it can be adapted and extended for other datasets and analyses.
Naoki Abe, Kathleen Buckingham, et al.
KDD 2023
Ella Barkan, Ibrahim Siddiqui, et al.
Computational And Structural Biotechnology Journal
Gosia Lazuka, Andreea Simona Anghel, et al.
SC 2024
Jitendra Singh, Smit Marvaniya, et al.
INFORMS 2022