combine feature data information
Examples
g <- GiottoData::loadGiottoMini("vizgen")
#> 1. read Giotto object
#> 2. read Giotto feature information
#> 3. read Giotto spatial information
#> 4. read Giotto image information
#> python already initialized in this session
#> active environment : 'giotto_env'
#> python version : 3.10
combineFeatureData(g, spat_unit = "aggregate", feat_type = "rna")
#> $rna
#> feat_ID nr_cells perc_cells total_expr mean_expr mean_expr_det hvg_orig
#> <char> <int> <num> <num> <num> <num> <char>
#> 1: Abcc9 10 2.164502 71.39463 0.15453382 7.139463 no
#> 2: Abcc9 10 2.164502 71.39463 0.15453382 7.139463 no
#> 3: Abcc9 10 2.164502 71.39463 0.15453382 7.139463 no
#> 4: Abcc9 10 2.164502 71.39463 0.15453382 7.139463 no
#> 5: Abcc9 10 2.164502 71.39463 0.15453382 7.139463 no
#> ---
#> 79757: Vmn2r1 7 1.515152 41.22525 0.08923213 5.889321 no
#> 79758: Vmn2r1 7 1.515152 41.22525 0.08923213 5.889321 no
#> 79759: Vmn2r1 7 1.515152 41.22525 0.08923213 5.889321 no
#> 79760: Vmn2r1 7 1.515152 41.22525 0.08923213 5.889321 no
#> 79761: Vmn2r1 7 1.515152 41.22525 0.08923213 5.889321 no
#> var hvf global_z feat_ID_uniq x y feat
#> <num> <char> <num> <num> <num> <num> <char>
#> 1: 3.2630074 yes 0 52 6401.822 -5074.172 rna
#> 2: 3.2630074 yes 0 1414 6434.212 -4994.575 rna
#> 3: 3.2630074 yes 0 1534 6435.822 -4993.068 rna
#> 4: 3.2630074 yes 0 1574 6436.190 -4993.599 rna
#> 5: 3.2630074 yes 0 1578 6436.225 -4994.331 rna
#> ---
#> 79757: 0.9765725 no 1 56040 6755.787 -4842.521 rna
#> 79758: 0.9765725 no 1 64767 6788.817 -4766.861 rna
#> 79759: 0.9765725 no 1 64870 6789.242 -4927.838 rna
#> 79760: 0.9765725 no 1 65645 6792.122 -4894.507 rna
#> 79761: 0.9765725 no 1 78156 6876.786 -5032.958 rna
#> spat_unit
#> <char>
#> 1: aggregate
#> 2: aggregate
#> 3: aggregate
#> 4: aggregate
#> 5: aggregate
#> ---
#> 79757: aggregate
#> 79758: aggregate
#> 79759: aggregate
#> 79760: aggregate
#> 79761: aggregate
#>