CNORdt
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see CNORdt.
Add-on to CellNOptR: Discretized time treatments
Bioconductor version: 3.19
This add-on to the package CellNOptR handles time-course data, as opposed to steady state data in CellNOptR. It scales the simulation step to allow comparison and model fitting for time-course data. Future versions will optimize delays and strengths for each edge.
Author: A. MacNamara
Maintainer: A. MacNamara <aidan.macnamara at ebi.ac.uk>
citation("CNORdt")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CNORdt")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CNORdt")| Using multiple time points to train logic models to data | R Script | |
| Reference Manual |
Details
| biocViews | CellBasedAssays, CellBiology, ImmunoOncology, Proteomics, Software, TimeCourse |
| Version | 1.46.0 |
| In Bioconductor since | BioC 2.11 (R-2.15) (12 years) |
| License | GPL-2 |
| Depends | R (>= 1.8.0), CellNOptR(>= 0.99), abind |
| Imports | |
| System Requirements | |
| URL |
See More
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| Enhances | |
| Depends On Me | |
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | CNORdt_1.46.0.tar.gz |
| Windows Binary (x86_64) | CNORdt_1.46.0.zip (64-bit only) |
| macOS Binary (x86_64) | CNORdt_1.46.0.tgz |
| macOS Binary (arm64) | CNORdt_1.46.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/CNORdt |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CNORdt |
| Bioc Package Browser | https://code.bioconductor.org/browse/CNORdt/ |
| Package Short Url | https://bioconductor.org/packages/CNORdt/ |
| Package Downloads Report | Download Stats |