Fuzzy c-means clustering and enrichment analysis results — FCM_RESULTS • MotrpacHumanPreSuspensionAnalysis

Results derived from fuzzy c-means (FCM) clustering of molecular features, together with downstream gene set enrichment analyses. These datasets summarize clustering assignments and cluster-level functional enrichment using both CAMERA-based competitive gene set testing and classical over-representation analysis (ORA).

The FCM results provide soft cluster membership estimates, allowing features to partially belong to multiple clusters, while the enrichment results characterize the biological functions associated with each cluster.

Usage

FCM_CLUSTERS
FCM_CAMERA
FCM_ORA

Format

Objects of class data.frame.

FCM_CLUSTERS: Feature-level fuzzy c-means clustering results. Typically includes feature identifiers, cluster centers, and membership values indicating the degree of association between each feature and each cluster.
FCM_CAMERA: Cluster-level functional enrichment results obtained using CAMERA. Contains statistics such as enrichment direction, test statistics, p-values, and multiple-testing–adjusted p-values for each gene set evaluated within each cluster.
FCM_ORA: Cluster-level over-representation analysis results. Summarizes gene sets that are significantly over-represented among features assigned to each cluster, along with corresponding enrichment statistics.

Details

These datasets are intended to be used jointly. Fuzzy c-means clustering defines coherent temporal or condition-specific feature patterns, while CAMERA and ORA provide complementary perspectives on the functional interpretation of those clusters.