TY - JOUR
T1 - Integrative single-cell analysis
AU - Stuart, Tim
AU - Satija, Rahul
N1 - Funding Information:
This work was supported by the US National Institutes of Health through a New Innovator Award (1DP2HG009623-01) and an R01 (5R01MH071679-12) to R.S.
Publisher Copyright:
© 2019, Springer Nature Limited.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - The recent maturation of single-cell RNA sequencing (scRNA-seq) technologies has coincided with transformative new methods to profile genetic, epigenetic, spatial, proteomic and lineage information in individual cells. This provides unique opportunities, alongside computational challenges, for integrative methods that can jointly learn across multiple types of data. Integrated analysis can discover relationships across cellular modalities, learn a holistic representation of the cell state, and enable the pooling of data sets produced across individuals and technologies. In this Review, we discuss the recent advances in the collection and integration of different data types at single-cell resolution with a focus on the integration of gene expression data with other types of single-cell measurement.
AB - The recent maturation of single-cell RNA sequencing (scRNA-seq) technologies has coincided with transformative new methods to profile genetic, epigenetic, spatial, proteomic and lineage information in individual cells. This provides unique opportunities, alongside computational challenges, for integrative methods that can jointly learn across multiple types of data. Integrated analysis can discover relationships across cellular modalities, learn a holistic representation of the cell state, and enable the pooling of data sets produced across individuals and technologies. In this Review, we discuss the recent advances in the collection and integration of different data types at single-cell resolution with a focus on the integration of gene expression data with other types of single-cell measurement.
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U2 - 10.1038/s41576-019-0093-7
DO - 10.1038/s41576-019-0093-7
M3 - Review article
C2 - 30696980
AN - SCOPUS:85060917516
VL - 20
SP - 257
EP - 272
JO - Nature Reviews Genetics
JF - Nature Reviews Genetics
SN - 1471-0056
IS - 5
ER -