Man pages for marcalva/diem
Debris-Containing Droplet Identification using EM

AlphaGet Alpha parameters for clusters
assign_clustersAssign clusters to droplets from EM
barcode_rank_plotCreate a barcode rank plot
call_targetsCall clean droplets after running EM using percent debris
clustersGet cluster labels
condense_labsRe-assign labels by condensing to 1 to k
convert_to_seuratConvert an SCE object to Seurat
create_SCECreate an SCE object from a sparse matrix
de_basicRun a basic DE between clusters
debris_genesReturn the differentially expression results for debris genes
de_ttestRun a DE between two groups with Welch's t-test
de_ttest_allRun a DE across clusters with Welch's t-test
divide_by_colsumDivide elements of a column by the column's sum in a sparse...
droplet_dataReturn the droplet data from an SCE object
estimate_dbr_scoreEstimate debris score per droplet
fill_countsFill information from raw counts
filter_genesFilter out lowly expressed genes
fraction_logfraction of logs
gene_dataReturn the gene data from an SCE object
get_clean_idsReturn IDs of clean droplets
get_gene_pctGet percent of reads aligned to given gene(s)
get_pcsGet PCs
get_removed_idsReturn IDs of removed droplets
get_var_genesGet variable genes
initInitialize parameters
mb_smallSingle-nucleus RNA-seq of mouse brain
merge_sizeMerge small clusters
normalize_dataNormalize raw counts.
norm_countsNormalize counts of a sparse matrix
params_frm_clustGet params from cluster assignments
plot_clustScatterplot of cluster means for indicated variables
plot_dataScatterplot of features from meta data or gene expression
plot_dbr_scoreScatterplot of debris score against feature
plot_umi_geneScatterplot of genes vs. UMI count
raw_countsReturn raw counts
read_10xRead 10X counts data
run_emRun EM to estimate parameters of mixture model
run_pcaRun PCA
SCE-classSCE
set_debris_test_setSet debris and test droplets
sum_logsum of logs
summarize_clustersOutput summary stats from a DIEM run
top_genesGet top up-regulated genes per cluster
z_tableReturn design matrix of labs vector
marcalva/diem documentation built on Jan. 1, 2023, 2:33 a.m.