selectFeatures: Perform feature selection on aggregated data
In phemd: Phenotypic EMD for comparison of single-cell samples

Description Usage Arguments Details Value Examples

Takes as input a Phemd object with aggregated data and returns updated object after performing feature selection on aggregated data

1	selectFeatures(obj, selected_genes)

`obj`	'Phemd' object containing aggregated data
`selected_genes`	Vector containing names of genes to use for downstream analyses

aggregateSamples needs to be called before running this function

Same as input 'Phemd' object after performing feature-selection based dimensionality reduction on aggregated expression data

my_phemdObj <- createDataObj(all_expn_data, all_genes, as.character(snames_data))
my_phemdObj_lg <- removeTinySamples(my_phemdObj, 10)
my_phemdObj_lg <- aggregateSamples(my_phemdObj_lg, max_cells=1000)
my_phemdObj_lg <- selectFeatures(my_phemdObj_lg, selected_genes=c('TP53',
'EGFR', 'KRAS', 'FOXP3', 'LAG3'))