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SCANPY: large-scale single-cell gene expression data analysis
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Journal Article
SCANPY: large-scale single-cell gene expression data analysis
2018
Overview
Scanpy
is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory networks. Its Python-based implementation efficiently deals with data sets of more than one million cells (
https://github.com/theislab/Scanpy
). Along with
Scanpy
, we present
AnnData
, a generic class for handling annotated data matrices (
https://github.com/theislab/anndata
).
Publisher
BioMed Central,Springer Nature B.V,BMC
