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dyngen
View on CRAN: Click
here
Download and install dyngen package within the R console
Install from CRAN:
install.packages("dyngen")
Install from Github:
library("remotes")
install_github("cran/dyngen")
Install by package version:
library("remotes")
install_version("dyngen", "1.0.5")
Attach the package and use:
library("dyngen")
Maintained by
Robrecht Cannoodt
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-10
Latest Update: 2022-10-12
Description:
A novel, multi-modal simulation engine for
studying dynamic cellular processes at single-cell resolution. 'dyngen'
is more flexible than current single-cell simulation engines. It
allows better method development and benchmarking, thereby stimulating
development and testing of novel computational methods. Cannoodt et
al. (2021) .
How to cite:
Robrecht Cannoodt (2020). dyngen: A Multi-Modal Simulator for Spearheading Single-Cell Omics Analyses. R package version 1.0.5, https://cran.r-project.org/web/packages/dyngen. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that dyngen depends,
imports, suggests or enhances
Complete documentation for dyngen
Functions, R codes and Examples using
the dyngen R package
Some associated functions: backbone . backbone_models . bblego . combine_models . convert . dyngen . example_model . generate_cells . generate_dataset . generate_experiment . generate_feature_network . generate_gold_standard . generate_kinetics . generate_tf_network . get_timings . initialise_model . kinetics_noise . plot_backbone_modulenet . plot_backbone_statenet . plot_experiment_dimred . plot_feature_network . plot_gold_expression . plot_gold_mappings . plot_gold_simulations . plot_simulation_expression . plot_simulations . plot_summary . realcounts . realnets . reexports . rnorm_bounded . runif_subrange . simtime_from_backbone .
Some associated R codes: 0a_backbone.R . 0b_modnet_pieces.R . 0c_backbone_lego.R . 0d_backbones.R . 1_initialisation.R . 2_tf_network.R . 3_feature_network.R . 4_kinetics.R . 5_gold_standard.R . 6_simulation.R . 7_experiment.R . 8_convert.R . caching.R . colour_brighten.R . combine_models.R . data-example_model.R . data-realnet.R . dimred.R . generate_dataset.R . generate_partitions.R . ggforce_issue_273_workaround.R . package.R . plotting.R . random_generators.R . reexports.R . simtime_from_backbone.R . timings.R . Full dyngen package functions and examples
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