plot_rank_bias: Query rank bias results

In NCBI-Hackathons/RClusterCT: Classifier for Single-cell RNA-seq Using Cell Clusters

Query rank bias results

Description

Query rank bias results

Usage

plot_rank_bias(bias_df, organism = "hsapiens")

Arguments

bias_df	data.frame of rank diff matrix between cluster and reference cell types
organism	for GO term analysis, organism name: human - 'hsapiens', mouse - 'mmusculus'

Value

ggplot object of distribution and annotated GO terms

Examples

## Not run: 
avg <- average_clusters(
    mat = pbmc_matrix_small,
    metadata = pbmc_meta,
    cluster_col = "classified",
    if_log = FALSE
)

rankdiff <- find_rank_bias(
    avg,
    cbmc_ref,
    query_genes = pbmc_vargenes
)

qres <- query_rank_bias(
    rankdiff,
    "CD14+ Mono",
    "CD14+ Mono"
)

g <- plot_rank_bias(
    qres
)

## End(Not run)

NCBI-Hackathons/RClusterCT documentation built on Aug. 30, 2024, 2:05 a.m.