Investigators developed a novel computational pipeline to analyze the transcriptomic profiles of acute myeloid leukemia (AML) CSCs, and identify novel candidate AML CSC markers and drug targets. They applied a top-down meta-analysis strategy to integrate The Cancer Genome Atlas data with CSC datasets to infer cell stemness features.
[Heliyon]
