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singleCellHaystack: Finding surprising genes in 2-dimensional representations of single cell transcriptome data

https://doi.org/10.1101/557967
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
inferredcites →https://doi.org/10.1038/s41467-019-13056-xopenalex-snapshot
The art of using t-SNE for single-cell transcriptomics
inferredcites →https://doi.org/10.1038/s41586-018-0590-4openalex-snapshot
Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
inferredcites →https://doi.org/10.1090/qam/15914openalex-snapshot
Contributions to the problem of approximation of equidistant data by analytic functions. Part A. On the problem of smoothing or graduation. A first class of analytic approximation formulae
inferredcites →https://doi.org/10.1146/annurev.cellbio.20.010403.095114openalex-snapshot
FUNDAMENTALS OF PLANARIAN REGENERATION
inferredcites →https://doi.org/10.1182/blood-2016-05-716480openalex-snapshot
A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
inferredcites →https://doi.org/10.1214/aoms/1177729694openalex-snapshot
On Information and Sufficiency
inferredcites →https://doi.org/10.1371/journal.pcbi.1006245openalex-snapshot
Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database
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