BIOCONDUCTOR . ORG {
}
Title:
Bioconductor - cytomapper
Description:
Highly multiplexed imaging acquires the single-cell expression of selected proteins in a spatially-resolved fashion. These measurements can be visualised across multiple length-scales. First, pixel-level intensities represent the spatial distributions of feature expression with highest resolution. Second, after segmentation, expression values or cell-level metadata (e.g. cell-type information) can be visualised on segmented cell areas. This package contains functions for the visualisation of multiplexed read-outs and cell-level information obtained by multiplexed imaging technologies. The main functions of this package allow 1. the visualisation of pixel-level information across multiple channels, 2. the display of cell-level information (expression and/or metadata) on segmentation masks and 3. gating and visualisation of single cells.
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Keywords {🔍}
package, bioconductor, packages, version, cytomapper, multiplexed, imaging, release, expression, information, visualisation, source, highly, data, celllevel, orcid, enter, install, reports, binary, learn, developers, started, software, visualization, singlecell, visualised, multiple, pixellevel, segmentation, metadata, functions, eling, aut, damond, hoch, ctb, lasse, meyer, installation, start, documentation, system, images, html, script, details, bioc, stats, url,
Topics {✒️}
org/packages/cytomapper source repository /bodenmillergroup/cytomapper bug reports joint galaxy/bioconductor conference pixel-level intensities represent bioconductor release tgz source repository cell-level information obtained source package /bioconductor package imaging cytometry data release multiplexed imaging technologies pixel-level information //code cell-level information bioconductor support site multiplexed read-outs /bodenmillergroup/cytomapper/issues cell-type information segmented cell areas spatially-resolved fashion gz windows binary cell-level metadata multiple length-scales script reference manual lasse meyer [cre tgz macos binary git clone https details biocviews nnls system requirements single-cell expression package installed tobias hoch [ctb] packages images started install ctb] orcid package macos binary bioconductor //bioconductor multiple channels single cells org registration open selected proteins spatial distributions feature expression highest resolution expression values
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