SPRING: a kinetic interface for visualizing high dimensional single-cell expression data.

ABSTRACT: Motivation:Single-cell gene expression profiling technologies can map the cell states in a tissue or organism. As these technologies become more common, there is a need for computational tools to explore the data they produce. In particular, visualizing continuous gene expression topologies can be improved, since current tools tend to fragment gene expression continua or capture only limited features of complex population topologies. Results:Force-directed layouts of k-nearest-neighbor graphs can visualize continuous gene expression topologies in a manner that preserves high-dimensional relationships and captures complex population topologies. We describe SPRING, a pipeline for data filtering, normalization and visualization using force-directed layouts and show that it reveals more detail

SUBMITTER: Weinreb C 

PROVIDER: S-EPMC6030950 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature