Extract_weigths from MOFA model for a given factor of interest at a defined absolute threshold

Extract_weigths from MOFA model for a given factor of interest at a defined absolute threshold

extract_weigths(
  model,
  factor = 1,
  threshold = 1.5,
  sense_check_variable = NULL
)

Arguments

model

MOFA model from integration in multiassay@metadata$integration$MOFA

factor

Factor to extract weight from

threshold

Number of standard deviation away from the mean weight

sense_check_variable

default to NULL. High weights should coincide with stronger correlation if the sense_check_variable is an important driver of variation in the designated factor. Will be used to generate a plot if set to a covariate.

Value

List with positive and negative weights above and below the specified threshold, distirbution plots of the weights, and dataframes of the weights for each omic layer.

See also

Other Multi-omic integration downstream analysis: OpenTarget_dataframe(), Transcription_Factor_enrichment_supervised(), Transcription_Factor_enrichment(), circos_TF(), clustering_DE_analysis(), extract_loadings(), extract_multiomic_signature(), integrative_results_clustering(), integrative_results_sparse_supervised(), integrative_results_supervised(), integrative_results_unsupervised(), multiomics_modules(), multiomics_network_matrix(), multiomics_network(), plot_module_trajectory(), posterior_probability(), pseudotime_inference(), sign_signature()