Man pages for GSSTDA
Progression Analysis of Disease with Survival using Topological Data Analysis

case_tagCase-control vector
check_arg_mappercheck_arg_mapper
check_filter_valuescheck_filter_values
check_full_datacheck_full_data
check_gene_selectioncheck_gene_selection
check_vectorscheck_vectors
clust_all_levelsGet clusters for all data level
clust_levGet clusters for a particular data level
compute_node_adjacencyComputes the adjacency matrix.
cox_all_genesSurvival analysis based on gene expression levels.
denoise_rectangular_matrixRectangular Matrix Denoiser.
dsgaDisease-Specific Genomic Analysis
flatten_normal_tissFlatten normal tissues
full_dataGene expression matrix
generate_disease_componentGenerate disease component matrix.
gene_selectionGene selection and filter function
gene_selection_Private gene_selection_
gene_selection.defaultgene_selection_classes.default
gene_selection.dsga_objectgene_selection_classes.dsga_object
gene_selection_survGene selection based on variability and the relationship to...
get_intervals_One_DExtract intervals from filter function output values.
gsstdaGene Structure Survival using Topological Data Analysis...
incMarPasIncomplete Marcenko-Pastur Integral
levels_to_nodesExtract Information about Nodes
lp_norm_k_powers_survFiltering function
mapperMapper object
map_to_colorMap to color
MedianMarcenkoPasturMedian of the Marcenko-Pastur Distribution
one_D_Mapperone_D_Mapper
optimal_SVHT_coef_gamma_knownOptimal SVHT Coefficient with Known Noise Level
optimal_SVHT_coef_gamma_unknownOptimal SVHT Coefficient with Unknown Noise Level
plot_dsgaplot dsga
plot_mapperPlot mapper
results_dsgaresults dsga
samples_in_levelsSamples in levels
survival_eventSurvival event vector
survival_timeSurvival time vector
GSSTDA documentation built on June 22, 2024, 10:44 a.m.