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hilbertSimilarity
View on CRAN: Click
here
Download and install hilbertSimilarity package within the R console
Install from CRAN:
install.packages("hilbertSimilarity")
Install from Github:
library("remotes")
install_github("cran/hilbertSimilarity") Install by package version:
library("remotes")
install_version("hilbertSimilarity", "0.4.4") Attach the package and use:
library("hilbertSimilarity")
Maintained by
Yann Abraham
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-05
Latest Update: 2019-11-11
Description:
Quantifying similarity between high-dimensional single cell samples is challenging, and usually requires
some simplifying hypothesis to be made. By transforming the high dimensional space into a high dimensional grid,
the number of cells in each sub-space of the grid is characteristic of a given sample. Using a Hilbert curve
each sample can be visualized as a simple density plot, and the distance between samples can be calculated from
the distribution of cells using the Jensen-Shannon distance. Bins that correspond to significant differences
between samples can identified using a simple bootstrap procedure.
How to cite:
Yann Abraham (2019). hilbertSimilarity: Hilbert Similarity Index for High Dimensional Data. R package version 0.4.4, https://cran.r-project.org/web/packages/hilbertSimilarity. Accessed 27 Oct. 2026.
Previous versions and publish date:
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Other R packages that hilbertSimilarity depends,
imports, suggests or enhances
Complete documentation for hilbertSimilarity
Functions, R codes and Examples using
the hilbertSimilarity R package
Some associated functions: add.cut . andrewsProjection . do.cut . do.hilbert . hilbert.order . hilbertMapping . hilbertProjection . hilbertSimilarity . js.dist . localMaxima . localMinima . make.cut . show.cut .
Some associated R codes: RcppExports.R . add.cut.R . andrewsProjection.R . do.cut.R . do.hilbert.R . hilbert.order.R . hilbertProjection.R . hilbertSimilarity.R . js.dist.R . localMaxima.R . localMinima.R . make.cut.R . show.cut.R . Full hilbertSimilarity package functions and examples
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