t-SNE (t-distributed Stochastic Neighbor Embedding) for nonlinear dimensionality reduction and visualization of high-dimensional data. Covers Barnes-Hut and exact modes, FIt-SNE/openTSNE interpolation
Use with AI
Install the MCP server or CLI to instantly fetch T Sne documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/t-sne
docker pull biocontainers/t-sne:unknownopenTSNE — modular Python library for t-distributed Stochastic Neighbor Embedding. Implements Barnes-Hut and FIt-SNE (interpolation-based) acceleration for scalable O(n log n) / near-linear t-SNE on l
3 shared topics • 2 shared operations
t-SNE via Rtsne — Barnes-Hut t-distributed Stochastic Neighbor Embedding for nonlinear dimensionality reduction and visualization. Wraps Van der Maaten's C++ Barnes-Hut implementation for O(n log n) c
2 shared topics • 2 shared operations
10x Genomics — commercial platform for single-cell and spatial genomics assays including Chromium single-cell RNA-seq (scRNA-seq), single-cell ATAC-seq, single-cell multiome (RNA+ATAC), Visium spatial
2 shared topics • 1 shared operation
AllenSDK is the Python toolkit for accessing Allen Institute for Brain Science datasets including brain atlases, cell types electrophysiology, calcium imaging (Brain Observatory), RNA-seq transcriptom
2 shared topics • 1 shared operation
Use when working with Nebulosa, the R/Bioconductor package for recovering single-cell gene expression signals via kernel density estimation (KDE). Covers plot_density(), weighted KDE (WKDE), joint den
2 shared topics • 1 shared operation