Ontology highlight
ABSTRACT:
SUBMITTER: Durruthy-Durruthy R
PROVIDER: S-EPMC4523134 | biostudies-literature | 2015 Mar
REPOSITORIES: biostudies-literature
Durruthy-Durruthy Robert R Gottlieb Assaf A Heller Stefan S
Nature protocols 20150212 3
Single-cell gene expression analysis has contributed to a better understanding of the transcriptional heterogeneity in a variety of model systems, including those used in research in developmental, cancer and stem cell biology. Nowadays, technological advances facilitate the generation of large gene expression data sets in high-throughput format. Strategies are needed to pertinently visualize this information in a tissue structure-related context, so as to improve data analysis and aid the drawi ...[more]