trendsceek is an R tool for the identification of statistically significant spatial expression trends in single-cell RNA-seq data. The trendsceek algorithm uses modified marked point processes and also discovers genes in sequential fluorescence in situ hybridization data. It can unveil significant gene expression gradients and hot spots.
Gene expression; Cell biology; Laboratory information management
Edsgard D, Johnsson P, Sandberg R "Identification of spatial expression trends in single-cell gene expression data." Nat Methods. 2018 May;15(5):339-342. https://doi.org/10.1038/nmeth.4634
PMID: 29553578
PMCID: PMC6314435
Burgess DJ "Transcriptomics: Finding structure in gene expression." Nat Rev Genet. 2018 Apr 13;19(5):249. https://doi.org/10.1038/nrg.2018.19
PMID: 29651100
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