hilbertSimilarity (0.4.3)

0 users

Hilbert Similarity Index for High Dimensional Data.

http://github.com/yannabraham/hilbertSimilarity
http://cran.r-project.org/web/packages/hilbertSimilarity

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.

Maintainer: Yann Abraham
Author(s): Yann Abraham [aut, cre], Marilisa Neri [aut], John Skilling [ctb]

License: CC BY-NC-SA 4.0

Uses: entropy, Rcpp, abind, ggplot2, reshape2, knitr, dplyr, tidyr, rmarkdown, bodenmiller

Released 9 days ago.


1 previous version

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of hilbertSimilarity yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for hilbertSimilarity on google, google scholar, r-help, r-devel.

Visit hilbertSimilarity on R Graphical Manual.