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Manually curated table defining the flow of information of the two condition biological regulatory clusters Regulatory labels from the different grouping methods. columns (RG1-RG3)

Usage

mca_twocond_rules

Format

An object of class spec_tbl_df (inherits from tbl_df, tbl, data.frame) with 36 rows and 5 columns.

Examples

data(mca_twocond_rules)
head(mca_twocond_rules)
#> # A tibble: 6 × 5
#>   Cond1 Cond2                RG1_All       RG2_Significant RG3_SignificantChange
#>   <chr> <chr>                <chr>         <chr>           <chr>                
#> 1 DOWN  DOWN                 Cond1 DOWN +… Core_DOWN       Core_DOWN            
#> 2 DOWN  Not Detected         Cond1 DOWN +… Cond1_DOWN      Cond1_DOWN           
#> 3 DOWN  Not Significant      Cond1 DOWN +… Cond1_DOWN      Cond1_DOWN           
#> 4 DOWN  Significant Negative Cond1 DOWN +… Core_DOWN       Cond1_DOWN           
#> 5 DOWN  Significant Positive Cond1 DOWN +… Opposite        Cond1_DOWN           
#> 6 DOWN  UP                   Cond1 DOWN +… Opposite        Opposite