Ontology highlight
ABSTRACT:
SUBMITTER: Heiser CN
PROVIDER: S-EPMC7305633 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Cell reports 20200501 5
High-dimensional data, such as those generated by single-cell RNA sequencing (scRNA-seq), present challenges in interpretation and visualization. Numerical and computational methods for dimensionality reduction allow for low-dimensional representation of genome-scale expression data for downstream clustering, trajectory reconstruction, and biological interpretation. However, a comprehensive and quantitative evaluation of the performance of these techniques has not been established. We present an ...[more]