
Get a table of all significant interactions across categories
Source:R/core_functions.R
get_multiOmics_diffNetworks.RdGet a table of all significant interactions across categories
Examples
data("synthetic_metadata")
data("synthetic_rnaseqData")
data("synthetic_proteomicData")
data("synthetic_OlinkData")
assayData_list <- list("RNAseq" = synthetic_rnaseqData,
"Proteomics" = synthetic_proteomicData,
"Olink" = synthetic_OlinkData)
deggs_object <- get_diffNetworks(assayData = assayData_list,
metadata = synthetic_metadata,
category_variable = "response",
verbose = FALSE,
show_progressBar = FALSE,
cores = 2)
get_multiOmics_diffNetworks(deggs_object, sig_threshold = 0.05)
#> $Non_responder
#> from to p.value p.adj layer
#> TNF-TNFRSF1A TNF TNFRSF1A 3.325023e-04 1.330009e-03 RNAseq
#> IL1B-IL1R2 IL1B IL1R2 5.389195e-04 2.155678e-03 RNAseq
#> TGFB3-TGFBR1 TGFB3 TGFBR1 5.329071e-15 2.131628e-14 RNAseq
#> AKT2-MTOR AKT2 MTOR 4.347083e-04 1.738833e-03 RNAseq
#> FANCD2-FAN1 FANCD2 FAN1 4.440892e-16 3.552714e-15 Proteomics
#> GNG12-RASA2 GNG12 RASA2 0.000000e+00 0.000000e+00 Proteomics
#> RASGRP3-RRAS RASGRP3 RRAS 2.202344e-04 1.761875e-03 Proteomics
#> TNF-TNFRSF1A1 TNF TNFRSF1A 0.000000e+00 0.000000e+00 Proteomics
#> RASGRP1-RAP1A RASGRP1 RAP1A 2.840564e-03 2.272452e-02 Proteomics
#>
#> $Responder
#> from to p.value p.adj layer
#> FANCD2-FAN1 FANCD2 FAN1 0.000000e+00 0.000000e+00 RNAseq
#> FASLG-FAS FASLG FAS 6.947839e-07 2.084352e-06 RNAseq
#> MAP2K2-MAPK3 MAP2K2 MAPK3 1.153300e-12 3.459899e-12 RNAseq
#>