Ontology highlight
ABSTRACT:
SUBMITTER: Jansen C
PROVIDER: S-EPMC6855564 | biostudies-literature | 2019 Nov
REPOSITORIES: biostudies-literature
Jansen Camden C Ramirez Ricardo N RN El-Ali Nicole C NC Gomez-Cabrero David D Tegner Jesper J Merkenschlager Matthias M Conesa Ana A Mortazavi Ali A
PLoS computational biology 20191104 11
Rapid advances in single-cell assays have outpaced methods for analysis of those data types. Different single-cell assays show extensive variation in sensitivity and signal to noise levels. In particular, scATAC-seq generates extremely sparse and noisy datasets. Existing methods developed to analyze this data require cells amenable to pseudo-time analysis or require datasets with drastically different cell-types. We describe a novel approach using self-organizing maps (SOM) to link scATAC-seq re ...[more]