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Karen
View on CRAN: Click
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Download and install Karen package within the R console
Install from CRAN:
install.packages("Karen")
Install from Github:
library("remotes")
install_github("cran/Karen")
Install by package version:
library("remotes")
install_version("Karen", "1.0")
Attach the package and use:
library("Karen")
Maintained by
Luca Del Core
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-15
Latest Update: 2022-09-15
Description:
This is a stochastic framework that combines biochemical reaction networks with extended Kalman filter and Rauch-Tung-Striebel smoothing.
This framework allows to investigate the dynamics of cell differentiation from high-dimensional clonal tracking data subject to measurement noise, false negative errors, and systematically unobserved cell types.
Our tool can provide statistical support to biologists in gene therapy clonal tracking studies for a deeper understanding of clonal reconstitution dynamics. Further details on the methods can be found in L. Del Core et al., (2022) .
How to cite:
Luca Del Core (2022). Karen: Kalman Reaction Networks. R package version 1.0, https://cran.r-project.org/web/packages/Karen
Previous versions and publish date:
No previous versions
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Some associated functions: Y_CT . Y_RM . get.cdn . get.fit . get.sMoments.avg . get.sMoments . get.sim.trajectories . nearestPD .
Some associated R codes: data.R . functions.R . importPackages.R . Full Karen package functions and examples
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