
BIOCONDUCTOR . ORG {
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Title:
Bioconductor - densvis
Description:
Implements the density-preserving modification to t-SNE and UMAP described by Narayan et al. (2020) <doi:10.1101/2020.05.12.077776>. The non-linear dimensionality reduction techniques t-SNE and UMAP enable users to summarise complex high-dimensional sequencing data such as single cell RNAseq using lower dimensional representations. These lower dimensional representations enable the visualisation of discrete transcriptional states, as well as continuous trajectory (for example, in early development). However, these methods focus on the local neighbourhood structure of the data. In some cases, this results in misleading visualisations, where the density of cells in the low-dimensional embedding does not represent the transcriptional heterogeneity of data in the original high-dimensional space. den-SNE and densMAP aim to enable more accurate visual interpretation of high-dimensional datasets by producing lower-dimensional embeddings that accurately represent the heterogeneity of the original high-dimensional space, enabling the identification of homogeneous and heterogeneous cell states. This accuracy is accomplished by including in the optimisation process a term which considers the local density of points in the original high-dimensional space. This can help to create visualisations that are more representative of heterogeneity in the original high-dimensional space.
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Keywords {🔍}
bioconductor, package, packages, version, highdimensional, densvis, data, release, original, space, source, densitypreserving, visualization, narayan, enable, heterogeneity, aut, enter, install, license, reports, binary, learn, developers, started, software, nonlinear, dimensionality, reduction, tsne, umap, sequencing, cell, lower, dimensional, representations, transcriptional, states, local, visualisations, density, represent, alan, ocallaghan, hyunghoon, cho, singlecell, installation, start, documentation,
Topics {✒️}
org/packages/densvis bug reports org/packages/densvis source repository joint galaxy/bioconductor conference original high-dimensional space alan o'callaghan [aut producing lower-dimensional embeddings bioconductor release tgz source repository source package density-preserving data visualization lower dimensional representations high-dimensional datasets single cell rnaseq release //code low-dimensional embedding heterogeneous cell states bioconductor support site density-preserving modification /alanocallaghan/densvis/issues accurate visual interpretation script reference manual gz windows binary zip macos binary tgz macos binary package installed discrete transcriptional states local neighbourhood structure ashwinn narayan [aut] git clone https details biocviews irlba system requirements umap enable users t-sne package started install packages den-sne local density visualization version bioconductor //bioconductor org registration open continuous trajectory early development methods focus misleading visualisations densmap aim optimisation process
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