Processing, visualising and reconstructing network models from single cell data
Immunology & Cell Biology
Nature Publishing Group
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Woodhouse, S., Moignard, V., Gottgens, B., & Fisher, J. (2015). Processing, visualising and reconstructing network models from single cell data. Immunology & Cell Biology, 94 256-265. https://doi.org/10.1038/icb.2015.102
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.
S.W is supported by a Microsoft Research PhD Scholarship.
Leukaemia & Lymphoma Research (12029)
Cancer Research UK (12765)
Wellcome Trust (097922/Z/11/Z)
Leukemia & Lymphoma Society (7001-12)
MEDICAL RESEARCH COUNCIL (MR/M008975/1)
External DOI: https://doi.org/10.1038/icb.2015.102
This record's URL: https://www.repository.cam.ac.uk/handle/1810/252788