summary_prediction_lasso {scGPS} | R Documentation |
n
bootstrapsthe training results from training
were written to
the object LSOLDA_dat
, the summary_prediction
summarises
prediction for n
bootstrap runs
summary_prediction_lasso(LSOLDA_dat = NULL, nPredSubpop = NULL)
LSOLDA_dat |
is a list containing the training results from
|
nPredSubpop |
is the number of subpopulations in the target mixed population |
a dataframe containg information for the Lasso prediction results, each column contains prediction results for all subpopulations from each bootstrap run
c_selectID<-1 day2 <- day_2_cardio_cell_sample mixedpop1 <-new_scGPS_object(ExpressionMatrix = day2$dat2_counts, GeneMetadata = day2$dat2geneInfo, CellMetadata = day2$dat2_clusters) day5 <- day_5_cardio_cell_sample mixedpop2 <-new_scGPS_object(ExpressionMatrix = day5$dat5_counts, GeneMetadata = day5$dat5geneInfo, CellMetadata = day5$dat5_clusters) genes <-training_gene_sample genes <-genes$Merged_unique LSOLDA_dat <- bootstrap_prediction(nboots = 1,mixedpop1 = mixedpop1, mixedpop2 = mixedpop2, genes=genes, c_selectID, listData =list(), cluster_mixedpop1 = colData(mixedpop1)[,1], cluster_mixedpop2=colData(mixedpop2)[,1]) summary_prediction_lasso(LSOLDA_dat=LSOLDA_dat, nPredSubpop=4)