PhenoGraph is a graph-based clustering method for flow cytometry data.
| Input data | . |
|---|---|
row |
represents the variables (e.g. channels, markers) |
col |
represents the observations (e.g. cells) |
y-axis |
is the value of measurement signal of the channel/marker |
| Operator Settings | . |
|---|---|
k |
integer, number of nearest neighbours (default: 30) |
seed |
integer, random seed |
implementation |
Whether to use Rphenograph of FastPhenoGraph (FastPG) implementation. |
| Output data | . |
|---|---|
cluster_id |
Cluster ID |
This operator is a wrapper around the PhenoGraph method, which is a clustering algorithm designed for high-dimensional single-cell data analysis.
It works by creating a graph representing phenotypic similarities between cells by calculating the Jaccard coefficient between nearest-neighbor sets, and then identifying communities using the Louvain method.