API for scGPS
A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation)

Global functions
CORE_bagging	Man page Source code
CORE_clustering	Man page Source code
CORE_subcluster	Man page Source code
PCA	Man page Source code
PrinComp_cpp	Man page Source code
add_import	Man page
annotate_clusters	Man page Source code
bootstrap_parallel	Man page Source code
bootstrap_prediction	Man page Source code
calcDist	Man page Source code
calcDistArma	Man page Source code
clustering	Man page Source code
clustering_bagging	Man page Source code
day_2_cardio_cell_sample	Man page
day_5_cardio_cell_sample	Man page
distvec	Man page Source code
find_markers	Man page Source code
find_optimal_stability	Man page Source code
find_stability	Man page Source code
mean_cpp	Man page Source code
new_scGPS_object	Man page Source code
new_summarized_scGPS_object	Man page Source code
plot_CORE	Man page Source code
plot_optimal_CORE	Man page Source code
plot_reduced	Man page Source code
predicting	Man page Source code
rand_index	Man page Source code
rcpp_Eucl_distance_NotPar	Man page Source code
rcpp_parallel_distance	Man page Source code
reformat_LASSO	Man page Source code
sub_clustering	Man page Source code
subset_cpp	Man page Source code
summary_accuracy	Man page Source code
summary_deviance	Man page Source code
summary_prediction_lasso	Man page Source code
summary_prediction_lda	Man page Source code
tSNE	Man page Source code
top_var	Man page Source code
tp_cpp	Man page Source code
training	Man page Source code
training_gene_sample	Man page
var_cpp	Man page Source code

scGPS documentation built on Nov. 8, 2020, 5:22 p.m.

rdrr.io home R language documentation Run R code online

CRAN packages Bioconductor packages R-Forge packages GitHub packages

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Tweet to @rdrrHQ

GitHub issue tracker

ian@mutexlabs.com