Hierarchical Clustering for Glycomics and Glycoproteomics Data

Perform hierarchical clustering on the expression data. The function uses stats::hclust() to perform clustering and provides tidy results including cluster assignments, dendrogram data for plotting, and merge heights.

Usage

gly_hclust(
  exp,
  on = "variable",
  k_values = c(2, 3, 4, 5),
  scale = TRUE,
  add_info = TRUE,
  ...
)

Arguments

exp: A glyexp::GlycomicSE() or glyexp::GlycoproteomicSE() object, or another SummarizedExperiment containing an expression matrix and sample information.
on: A character string specifying what to cluster. Either "variable" (default) to cluster variables/features, or "sample" to cluster samples/observations.
k_values: A numeric vector specifying the number of clusters to cut the tree into. Default is c(2, 3, 4, 5). If NULL, no cluster assignments are returned.
scale: A logical indicating whether to scale the data before clustering. Default is TRUE.
add_info: A logical value. If TRUE (default), sample information from the experiment will be added to the result tibbles. If FALSE, only the clustering results are returned.
...: Additional arguments passed to stats::dist() and stats::hclust(). Note: if both functions need a method parameter, use dist.method for distance and hclust.method for clustering method.

Value

A list containing:

tidy_result: A list of tibbles with clustering results:
- clusters: Cluster assignments containing the following columns:
  - variable or sample: Variable or sample name (depending on on parameter)
  - cluster_k2, cluster_k3, etc.: Cluster assignments for different k values
- dendrogram: Dendrogram segment data for plotting (if ggdendro is available) containing:
  - x, y, xend, yend: Segment coordinates for plotting
- heights: Merge heights and steps containing the following columns:
  - merge_step: Step number in the clustering process
  - height: Height at which clusters are merged
  - n_clusters: Number of clusters remaining after this merge
- labels: Labels and their positions (if ggdendro is available) containing:
  - x, y: Position coordinates
  - label: Label text
raw_result: The raw hclust object from stats::hclust()
meta_data: A list containing metadata from the input experiment

Details

The function performs log2 transformation on the expression data (log2(x + 1e-6)) before clustering. When on = "variable" (default), variables are clustered based on their expression patterns across samples. When on = "sample", samples are clustered based on their expression profiles across variables.

Distance Calculation: Distance is calculated using stats::dist() with the specified method.

Clustering Method: Hierarchical clustering is performed using stats::hclust() with the specified method.

Cluster Assignment: The dendrogram is cut at different heights to produce cluster assignments for the specified k values using stats::cutree().

Required packages

This function only uses base R packages and does not require additional dependencies. For enhanced dendrogram plotting capabilities, the ggdendro package is recommended but not required.