| aggregateTestEnrichments | Aggregate test enrichment results |
| annoProbes | Annotate Probe IDs using KYCG databases |
| buildGeneDBs | build gene-probe association database |
| dbStats | dbStats aggregates methylation of a given betas matrix over specified database set features |
| getDBs | Get databases by full or partial names of the database group(s) |
| KYCG_plotBar | Bar plot to show most enriched CG groups from testEnrichment |
| KYCG_plotDot | Dot plot to show most enriched CG groups from testEnrichment |
| KYCG_plotEnrichAll | plot enrichment test result |
| KYCG_plotLollipop | creates a lollipop plot of log(estimate) given data with fields estimate. |
| KYCG_plotManhattan | KYCG_plotManhattan makes a manhattan plot to summarize EWAS results |
| KYCG_plotMeta | Plot meta gene or other meta genomic features |
| KYCG_plotMetaEnrichment | Plot meta gene or other meta genomic features |
| KYCG_plotPointRange | Plot point range for a list of enrichment testing results against the same set of databases |
| KYCG_plotSetEnrichment | Plot Set Enrichment |
| KYCG_plotVolcano | creates a volcano plot of -log2(p.value) and log(estimate) given data with fields estimate and p.value. |
| KYCG_plotWaterfall | create a waterfall plot of log(estimate) given test enrichment |
| listDBGroups | List database group names |
| testEnrichment | testEnrichment tests for the enrichment of query in knowledgebase sets |
| testEnrichment2 | Test enrichment from YAME-compressed CG sets |
| testEnrichmentFisher | testEnrichmentFisher uses Fisher's exact test to estimate the association between two categorical variables. |
| testEnrichmentSEA | uses the GSEA-like test to estimate the association of a categorical variable against a continuous variable. |
| testEnrichmentSpearman | testEnrichmentSpearman uses the Spearman statistical test to estimate the association between two continuous variables. |
| testGO | tests Gene Ontology of genes overlapping CpG query |
| testProbeProximity | testProbeProximity tests if a query set of probes share closer genomic proximity than if randomly distributed |