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Karen

Kalman Reaction Networks

Installation

About

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) doi:10.1101/2022.07.08.499353.

Key Metrics

Version 1.0
R ≥ 2.10
Published 2022-09-15 599 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Luca Del Core

l.del.core@rug.nl

Authors

Luca Del Core

aut / cre / cph

Danilo Pellin

aut

Marco Grzegorczyk

aut / ths

Ernst Wit

aut / ths

Material

Reference manual
Package source

Vignettes

Using Karen

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 2.10

Imports

Matrix
parallel
gaussquad
splines
scales
mvtnorm
tmvtnorm
MASS
igraph
xtable
stringr
abind
expm
methods

Suggests

R.rsp