Integrative single-cell analysis

Integrative single-cell analysis

Integrative single-cell analysis, Published online: 29 January 2019; doi:10.1038/s41576-019-0093-7

The functional interpretation of single-cell RNA sequencing (scRNA-seq) data can be enhanced by integrating additional data types beyond RNA-based gene expression. In this Review, Stuart and Satija discuss diverse approaches for integrative single-cell analysis, including experimental methods for profiling multiple omics types from the same cells, analytical approaches for extracting additional layers of information directly from scRNA-seq data and computational integration of omics data collected across different cell samples.

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