中国

Publications

Processing, visualising and reconstructing network models from single-cell data

Woodhouse, S., Moignard, V., Göttgens, B., Fisher, J.

New single-cell technologies readily permit gene expression profiling of thousands of cells at single-cell resolution. In this review, we will discuss methods for visualisation and interpretation of single-cell gene expression data, and the computational analysis needed to go from raw data to predictive executable models of gene regulatory network function. We will focus primarily on single-cell real-time quantitative PCR and RNA-sequencing data, but much of what we cover will also be relevant to other platforms, such as the mass cytometry technology for high-dimensional single-cell proteomics.

Citation

Woodhouse, S., Moignard, V., Göttgens, B., Fisher, J. "Processing, visualising and reconstructing network models from single-cell data" Immunology and Cell Biology (2015): 256–65