Experimental. Evaluate raw inputs into formats that are directly compatible
with Giotto's functionality. Note that this function only formats the data.
The output from this function still needs to be put into a Giotto
subobject.
This is a wrapper function for the individual GiottoClass evaluation
functions.
Examples
x <- GiottoData::loadSubObjectMini("exprObj", 1)
evaluate_input(type = "expression", x)
#> An object of class exprObj : "normalized"
#> spat_unit : "aggregate"
#> feat_type : "rna"
#> provenance: z0 z1
#>
#> contains:
#> 337 x 462 sparse Matrix of class "dgCMatrix"
#>
#> Mlc1 . . . . . . 5.291601 . . 5.821597 . . .
#> Gprc5b . 6.398031 . 7.454658 . . 6.273066 . 7.680054 6.808785 . 5.082989 .
#> Gfap 10.48137 . 7.901442 5.886051 . . 10.746982 . 5.701006 5.821597 . . .
#>
#> Mlc1 ......
#> Gprc5b ......
#> Gfap ......
#>
#> ........suppressing 449 columns and 331 rows in show(); maybe adjust options(max.print=, width=)
#>
#> Adgrf4 . . . . . . . . . . . . . ......
#> Epha2 . . . . . . . . . . . . . ......
#> Blank-139 . . . . . . . . . . . . . ......
#>
#> First four colnames:
#> 240649020551054330404932383065726870513
#> 274176126496863898679934791272921588227
#> 323754550002953984063006506310071917306
#> 87260224659312905497866017323180367450