Utility function that using the screenr-class object create the corresponding edgeR object. This function and other utility function enables the user to not worry abut the implementation and just focus on the analysis. The ScreenR package will take care of the rest.
Arguments
- screenR_Object
The ScreenR object obtained using the
create_screenr_object
Examples
object <- get0("object", envir = asNamespace("ScreenR"))
create_edger_obj(object)
#> An object of class "DGEList"
#> $counts
#> T1 T2 Time3_TRT_A Time3_TRT_B Time3_TRT_C Time3_A Time3_B
#> 1 329.84259 437.05313 365.28131 438.98590 310.56195 357.71537 424.65120
#> 2 26.23748 34.59281 20.51319 59.51235 16.67032 49.34005 17.41192
#> 3 141.21386 156.43298 164.10552 123.52655 132.33355 119.76559 121.43982
#> 4 355.79896 423.58336 336.41632 423.50391 375.08227 387.65676 346.46392
#> 5 67.18669 65.71614 82.63885 36.89326 26.34323 58.40681 65.43333
#> Time3_C Time4_TRT_A Time4_TRT_B Time4_TRT_C Time4_A Time4_B Time4_c
#> 1 363.06161 323.48640 382.06214 456.79054 338.12714 358.16244 390.75227
#> 2 16.93033 32.46057 15.37962 33.91447 63.18147 29.41115 20.28906
#> 3 126.87300 14.21549 39.96678 50.70943 43.66670 41.17561 90.38830
#> 4 361.38947 259.79652 325.90629 280.80853 359.96049 338.11929 274.92213
#> 5 76.81355 35.70663 10.72526 32.53517 12.26918 43.89886 71.49478
#> 5315 more rows ...
#>
#> $samples
#> group lib.size norm.factors
#> T1 T1/T2 1e+06 1
#> T2 T1/T2 1e+06 1
#> Time3_TRT_A Treated 1e+06 1
#> Time3_TRT_B Treated 1e+06 1
#> Time3_TRT_C Treated 1e+06 1
#> 9 more rows ...
#>
#> $genes
#> Gene Barcode Gene_ID Sequence Library
#> 1 Gene_380 10208 NA NA NA
#> 2 Gene_380 10502 NA NA NA
#> 3 Gene_380 10796 NA NA NA
#> 4 Gene_380 11089 NA NA NA
#> 5 Gene_380 11382 NA NA NA
#> 5315 more rows ...
#>