Multi-Omics Simulation (MOSim)


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Documentation for package ‘MOSim’ version 2.2.0

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associationList Data to showcase scRNA and scATAC-seq association
calculate_mean_per_list_df calculate_mean_per_list_df
check_patterns check_patterns
discretize Discretize ChIP-Seq counts to simulate a binary dataset
experimentalDesign Retrieves the experimental design
is.declared Check if a variable is declared.
make_association_dataframe make_association_dataframe
make_cluster_patterns make_cluster_patterns
match_gene_regulator match_gene_regulator
match_gene_regulator_cluster match_gene_regulator_cluster
mosim mosim
omicData Set customized data for an omic.
omicResults Retrieves the simulated data.
omicSettings Retrieves the settings used in a simulation
omicSim Set the simulation settings for an omic.
plotProfile Generate a plot of a feature's profile for one or two omics.
random_unif_interval random_unif_interval Function to call the C code This function is a copy of the 'random_unif_interval' function from the 'SPARSim' package (v0.9.5), originally developed by Giacomo Baruzzo, Ilaria Patuzzi, Barbara Di Camillo (2020). The original package is licensed under the GPL-3 license.
sampleData Default data
scatac Data to test scMOSim
scrna Data to test scMOSim
sc_mosim sc_mosim
sc_omicData sc_omicData
sc_omicResults sc_omicResults
sc_omicSettings sc_omicSettings
sc_param_estimation sc_param_estimation
shuffle_group_matrix shuffle_group_matrix, Reorder cell type-specific expression matrix during co-expression simulation. Copied from ACORDE (https://github.com/ConesaLab/acorde) to facilitate stability and running within our scripts This function is a slightly modified copy of the 'shuffle_group_matrix' function from the 'Acorde' package (v1.0.0), originally developed by Arzalluz-Luque A, Salguero P, Tarazona S, Conesa A. (2022). acorde unravels functionally interpretable networks of isoform co-usage from single cell data. Nature communications 1828. DOI: 10.1038/s41467-022-29497-w. The original package is licensed under the GPL-3 license.
simulate_coexpression simulate coexpression
simulate_hyper Simulate technical variability
sparsim_create_simulation_parameter Create SPARSim simulation parameter
sparsim_estimate_intensity Estimate SPARSIm "intensity" parameter
sparsim_estimate_library_size Estimate SPARSim "library size" parameter
sparsim_estimate_parameter_from_data Estimate SPARSim simulation parameter from a given count table
sparsim_estimate_variability Estimate SPARSim "variability" parameter
sparsim_simulation Function to simulate a raw count table
TF_human Data to extract human TF