Ontology highlight
ABSTRACT:
SUBMITTER: Qiu P
PROVIDER: S-EPMC3196363 | biostudies-literature | 2011 Oct
REPOSITORIES: biostudies-literature
Nature biotechnology 20111002 10
The ability to analyze multiple single-cell parameters is critical for understanding cellular heterogeneity. Despite recent advances in measurement technology, methods for analyzing high-dimensional single-cell data are often subjective, labor intensive and require prior knowledge of the biological system. To objectively uncover cellular heterogeneity from single-cell measurements, we present a versatile computational approach, spanning-tree progression analysis of density-normalized events (SPA ...[more]