Description Functions to use public TCGA data Functions to use with user-curated data Functions for output visualization and helper functions Sample data sets and gene signature lists
The imogimap package provides three categories of functions:
The following functions use curatedTCGAData to obtain publicly available RNASeq2GeneNorm data from The Cancer Genome Atlas (TCGA).
im_syng_tcga: Finds combinatorial association of immunotherapy co-targets with tumor intrinsic features as listed in TCGA_immune_features_list.
im_boxplot_tcga: Generates a stratified boxplot of immune feature values based on two genes
im_cor_tcga: Finds Spearman correlation of co-target genes with immuno-oncology feature
The following functions accept user-curated expression data as input.
im_syng: Finds combinatorial association of immunotherapy co-targets with tumor intrinsic features as listed in TCGA_immune_features_list.
im_boxplot: Generates a stratified boxplot of immune feature values based on two genes
im_cor: Finds Spearman correlation of co-target genes with immuno-oncology feature
im_netplot: Creates and plot an igraph network from dataframe as outputed
get_syng_score: Calculates synergy score for a stratified data
get_angio_score: Calculates angiogenesis score
get_emt_score: Calculates EMT score
get_ifng_score: Calculates IFNG score
get_quantile_rank: Stratify each column using quantile values.
AG_gene_list: Angiogenesis signature genes
EMT_gene_list: EMT signature genes
icp_gene_list: Default list of immune checkpoints
sample_immune_cell_fraction_data: Sample immune cell fraction data
sample_Leukocyte_fraction_data: Sample Leukocyte fraction data
sample_mRNA_data: Sample expression data
TCGA_Leukocyte_fraction: Leukocyte fraction for TCGA data
TCGA_IMCell_fraction: Immune cell type fractions for TCGA data
TCGA_TMB: Tumor mutation burden for TCGA data
TCGA_immune_features_list: Default immune features for TCGA data
TCGA_disease_list: TCGA abbreviated disease names
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