Single Sample directioNAl Pathway Perturbation analYsis


[Up] [Top]

Documentation for package ‘sSNAPPY’ version 1.10.0

Help Pages

generate_permuted_scores Permute sample labels to simulate null distribution of perturbation scores
generate_permuted_scores-method Permute sample labels to simulate null distribution of perturbation scores
gsAnnotation_df gsAnnotation_df: Categorization of KEGG pathways used for community annotation
logCPM_example logCPM_example: Normalised logCPM of patient-derived explant models obtained from 5 ER-positive primamry breast cancer tumours (GSE80098)
metadata_example metadata_example: Sample metadata for malignant breast cancer tumours PDE from 5 ER+ breast cancer tumour (GSE80098)
normalise_by_permu Normalise test perturbation scores by permutation result and compute permutation p-values
pathway_pert Compute Single-sample Pathway-level Perturbation Score
plot_community Visualise the community structure in significantly perturbed gene-set network
plot_gene_contribution Plot genes' contribution to a pathway's perturbation as a heatmap
plot_gs2gene Plot pathways and genes contained in them as a network
plot_gs_network Plot significantly perturbed gene-sets as a network
raw_gene_pert Compute Gene-wise Perturbation Score
retrieve_topology Retrieve pathway topology as weighted adjacency matrices
sSNAPPY sSNAPPY: A package for testing directional single sample pathway perturbation
weight_ss_fc Compute weighted single sample LogFC from normalised logCPM
weight_ss_fc-method Compute weighted single sample LogFC from normalised logCPM