View source: R/multiple_comparison_EBseq_viewer.R
multiDEG_overview | R Documentation |
Visualization of multiple comparison DEG analysis
multiDEG_overview( Normalized_count_matrix, EBseq_result, EBseq_condmeans, Species = NULL, fdr = 0.05, fc = 2, basemean = 0 )
Normalized_count_matrix |
Count matrix txt file (e.g. TPM count matrix.txt) |
EBseq_result |
result txt file of EBseq analysis |
EBseq_condmeans |
Condmeands txt file from EBseq analysis |
Species |
Species |
fdr |
Accepted false discovery rate for considering genes as differentially expressed |
fc |
the fold change threshold. Only genes with a fold change >= fc and padj <= fdr are considered as significantly differentially expressed. |
basemean |
basemean threshold. |
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library(rnaseqviewer) #' #three conditions DEG analysis data("Row_count_3conditions") write.table(Row_count_3conditions, file = "Row_count_3conditions.txt", sep = "\t", quote = FALSE) ebseq("Row_count_3conditions.txt") multiDEG_overview(Normalized_count_matrix = "Normalized_count_matrix_from_Row_count_3conditions_Cond1-vs-Cond2-vs-Cond3_EBseq.txt", EBseq_result = "result_of_Row_count_3conditions_Cond1-vs-Cond2-vs-Cond3_EBseq.txt", EBseq_condmeans ="result_of_Row_count_3conditions_Cond1-vs-Cond2-vs-Cond3_EBseq.condmeans", Species = "human", fdr = 0.05, fc = 1.25, basemean = 5)
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