Immune Oncology Biological Research


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Documentation for package ‘IOBR’ version 2.2.0

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A B C D E F G H I L M N O P R S T

-- A --

add_iobr_mirror Add Custom Download Mirror
add_riskscore Add Risk Score to Dataset
anno_eset Annotate Gene Expression Matrix and Remove Duplicated Genes
assimilate_data Harmonize Two Data Frames by Column Structure

-- B --

batch_cor Batch Correlation Analysis
batch_kruskal Batch Kruskal-Wallis Test
batch_pcc Batch Calculation of Partial Correlation Coefficients
batch_sig_surv_plot Batch Signature Survival Plot
batch_surv Batch Survival Analysis
batch_wilcoxon Batch Wilcoxon Rank-Sum Test Between Two Groups
best_cutoff Extract Best Cutoff and Add Binary Variable to Data Frame
best_cutoff2 Extract Best Cutoff and Add Binary Variable to Data Frame
BinomialAUC Calculate AUC for Binomial Model
BinomialModel Binomial Model Construction

-- C --

CalculatePref Calculate Performance Metrics
CalculateTimeROC Calculate Time-Dependent ROC Curve
calculate_break_month Break Time Into Blocks
calculate_sig_score Calculate Signature Score
calculate_sig_score_integration Calculate Signature Score Using Integration Method
calculate_sig_score_pca Calculate Signature Score Using PCA Method
calculate_sig_score_ssgsea Calculate Signature Score Using ssGSEA Method
calculate_sig_score_zscore Calculate Signature Score Using Z-Score Method
cell_bar_plot Visualize Cell Fractions as Stacked Bar Chart
check_cancer_types Process Batch Table and Validate Cancer Types
check_eset Check Integrity and Outliers of Expression Set
CIBERSORT CIBERSORT Deconvolution Algorithm
clear_iobr_cache Clear IOBR Data Cache
combine_pd_eset Combine Phenotype Data and Expression Set
Construct_con Construct Contrast Matrix
ConvertRownameToLoci Convert Rowname To Loci
CoreAlg Core Algorithm for CIBERSORT Deconvolution
count2tpm Convert Read Counts to Transcripts Per Million (TPM)
creat_folder Create Nested Output Folders

-- D --

deconvolute_quantiseq.default Use quanTIseq to Deconvolute a Gene Expression Matrix
deconvolute_timer.default Deconvolute Tumor Microenvironment Using TIMER
deconvo_cibersort Deconvolve Using CIBERSORT
deconvo_epic Deconvolve Immune Microenvironment Using EPIC
deconvo_estimate Calculate ESTIMATE Scores
deconvo_ips Calculate Immunophenoscore (IPS)
deconvo_mcpcounter Deconvolve Immune Microenvironment Using MCP-Counter
deconvo_quantiseq Deconvolve Using quanTIseq
deconvo_ref Deconvolve Using Custom Reference
deconvo_timer Deconvolve Using TIMER
deconvo_tme Main TME Deconvolution Function
deconvo_xcell Deconvolve Immune Microenvironment Using xCell
design_mytheme Design Custom Theme for ggplot2 Plots
doPerm Permutation Test for CIBERSORT
download_iobr_data Download IOBR Data from GitHub with Mirror Support
DrawQQPlot Draw QQ Plot Comparing Cancer and Immune Expression

-- E --

Enet Elastic Net Model Fitting
enrichment_barplot Enrichment Bar Plot with Two Directions
EPIC Estimate the proportion of immune and cancer cells.
eset_distribution Visualize Expression Set Distribution
estimateScore estimateScore
exact_pvalue Calculate Exact P-Value for Correlation
extract_sc_data Extract Data Frame from Seurat Object

-- F --

feature_manipulation Feature Quality Control and Filtering
feature_select Feature Selection via Correlation or Differential Expression
filterCommonGenes filterCommonGenes
find_markers_in_bulk Identify Marker Features in Bulk Expression Data
find_mutations Analyze Mutations Related to Signature Scores
find_outlier_samples Identify Outlier Samples in Gene Expression Data
find_variable_genes Identify Variable Genes in Expression Data
format_msigdb Format Input Signatures from MSigDB
format_signatures Transform Signature Data into List Format

-- G --

generateRef Generate Reference Signature Matrix
generateRef_DEseq2 Generate Reference Signature Matrix Using DESeq2
generateRef_limma Generate Reference Signature Matrix Using Limma
generateRef_rnaseq Generate Reference Gene Matrix from RNA-seq DEGs
generateRef_seurat Generate Reference Matrix from Seurat Object
GetFractions.Abbas Constrained Regression Method (Abbas et al., 2009)
getHRandCIfromCoxph Extract Hazard Ratio and Confidence Intervals from Cox Model
GetOutlierGenes Get Outlier Genes
get_cols Set and View Color Palettes
get_cor Calculate and Visualize Correlation Between Two Variables
get_cor_matrix Calculate and Visualize Correlation Matrix Between Two Variable Sets
get_sig_sc Extract Top Marker Genes from Single-Cell Differential Results

-- H --

high_var_fea Identify High-Variance Features from Statistical Results

-- I --

imvigor210_pdata IMvigor210 Bladder Cancer Immunotherapy Cohort Data
iobr_cor_plot Integrative Correlation Analysis Between Phenotype and Features
iobr_deconvo_pipeline Tumor Microenvironment (TME) Deconvolution Pipeline
iobr_deg Differential Expression Analysis
iobr_pca Principal Component Analysis (PCA) Visualization
ipsmap Map Score to Immunophenoscore
IPS_calculation Calculate Immunophenoscore (IPS)

-- L --

lasso_select Feature Selection for Predictive or Prognostic Models Using LASSO Regression
limma.dif Differential Expression Analysis Using Limma
list_github_datasets List Available GitHub Datasets
list_iobr_mirrors List Current Download Mirrors
load_data Load IOBR Datasets
log2eset Log2 Transformation of Gene Expression Matrix
LR_cal Calculate Ligand-Receptor Interaction Scores

-- M --

make_mut_matrix Construct Mutation Matrices from MAF Data
mapbw Map Score to Black and White Color
mapcolors Map Score to Color
MCPcounter.estimate MCP-counter Cell Population Abundance Estimation
merge_duplicate Merge Data Frames with Duplicated Column Names
merge_eset Merge Expression Sets by Row Names
mouse2human_eset Convert Mouse Gene Symbols to Human Gene Symbols

-- N --

null_models NULL Model Coefficients for MCPcounter

-- O --

outputGCT outputGCT
output_sig Save Signature Data to File

-- P --

palettes Select Color Palettes for Visualization
parallel_doperm Parallel Permutation Test for CIBERSORT
ParseInputExpression Parse Input Gene Expression Data
patterns_to_na Default Pattern List for Name Cleaning
pdata_stad Toy STAD Phenotype Data
percent_bar_plot Create a Percent Bar Plot
pie_chart Create Pie or Donut Charts
PlotAUC Plot AUC ROC Curves
plotPurity plotPurity
PlotTimeROC Plot Time-Dependent ROC Curves
ProcessingData Process Data for Model Construction
PrognosticAUC Calculate Time-Dependent AUC for Survival Models
PrognosticModel Build Prognostic Models Using LASSO and Ridge Regression
PrognosticResult Compute Prognostic Results for Survival Models

-- R --

random_strata_cells Stratified Random Sampling of Cells
rbind_iobr Row Bind Multiple Data Sets
RegressionResult Regression Result Computation
RemoveBatchEffect Remove Batch Effect of Expression Set
remove_batcheffect Removing Batch Effect from Expression Sets
remove_duplicate_genes Remove Duplicate Gene Symbols in Gene Expression Data
remove_names Remove Patterns from Column Names or Variables
reset_iobr_mirrors Reset Download Mirrors to Default
roc_time Time-dependent ROC Curve for Survival Analysis

-- S --

scale_matrix Scale and Manipulate a Matrix
select_method Select a Signature Scoring Method Subset
signature_collection Gene signature collection for pathway and immune analysis
signature_score_calculation_methods Signature Score Calculation Methods
sigScore Calculate Signature Score Using PCA, Mean, or Z-score Methods
sig_box Signature Box Plot with Statistical Comparisons
sig_box_batch Batch Signature Box Plots for Group Comparisons
sig_forest Forest Plot for Survival Analysis Results
sig_group Grouped gene signatures for IOBR analysis
sig_gsea Perform Gene Set Enrichment Analysis (GSEA)
sig_heatmap Signature Heatmap with Optional Annotations
sig_pheatmap Generate Heatmap for Signature Data
sig_roc Plot ROC Curves and Compare Them
sig_surv_plot Generate Kaplan-Meier Survival Plot for Signature
SplitTrainTest Split Data into Training and Testing Sets
stad_group Example Clinical Data for TCGA-STAD Gastric Cancer Analysis
subgroup_data Example Dataset for Subgroup Survival Analysis
subgroup_survival Subgroup Survival Analysis Using Cox Proportional Hazards Models
surv_group Generate Kaplan-Meier Survival Plots for Categorical Groups

-- T --

tcga_rna_preps Preprocess TCGA RNA-seq Data
tcga_stad_pdata TCGA-STAD Clinical and Molecular Annotation Data
test_for_infiltration Test for Cell Population Infiltration
timer_available_cancers TIMER Available Cancer Types
timer_info Source code for the TIMER deconvolution method.
tme_cluster Identification of TME Cluster
tme_deconvolution_methods TME Deconvolution Methods
Top_probe Top Probe Selector
transform_data Transform NA, Inf, or Zero Values in Data