BBrowserX: Dimensionality Reduction and Clustering

Dimensionality reduction and clustering
Dimensionality reduction is a technique to simplify complex data by reducing its number of dimensions while preserving key information. BioTuring enables researchers to ustomize embeddings used for Louvain clustering, t-SNE, and UMAP with new features, exclusively available in BBrowserX's private version and Talk2Data's custom atlas.