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openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding
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Outgoing claims: the papers this work cites, builds on, or argues with.
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UMAP: Uniform Manifold Approximation and Projection
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Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
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Towards a comprehensive visualization of structure in data
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A Probabilistic Graph Coupling View of Dimension Reduction
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Quantitative mapping of antigen specificity in adaptive immune repertoire embedding spaces
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