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A generic tool for manifold analysis. It allows to infer a relevant transition or evolutionary path which can highlights the features involved in a specific process. 'spathial' can be useful in all the scenarios where the temporal (or pseudo-temporal) evolution is the main problem (e.g. tumor progression). The algorithm for finding the principal path is described in: Ferrarotti et al., (2019) <doi:10.1109/TNNLS.2018.2884792>."
Version: | 0.1.2 |
Depends: | R (≥ 3.5) |
Imports: | pracma, igraph, matrixStats, MASS, Rtsne, class, utils, knitr, rmarkdown, irlba |
Published: | 2020-04-10 |
Author: | Erika Gardini [aut, cre], Federico M. Giorgi [aut], Sergio Decherchi [aut], Andrea Cavalli [aut] |
Maintainer: | Erika Gardini <erika.gardini4 at unibo.it> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | spathial results |
Reference manual: | spathial.pdf |
Vignettes: |
Spathial Package Vignette |
Package source: | spathial_0.1.2.tar.gz |
Windows binaries: | r-devel: spathial_0.1.2.zip, r-release: spathial_0.1.2.zip, r-oldrel: spathial_0.1.2.zip |
macOS binaries: | r-release (arm64): spathial_0.1.2.tgz, r-oldrel (arm64): spathial_0.1.2.tgz, r-release (x86_64): spathial_0.1.2.tgz, r-oldrel (x86_64): spathial_0.1.2.tgz |
Old sources: | spathial archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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