単一細胞技術の進歩により、組織の構成を高分解能で分析することができるようになった。単一細胞研究で得られた多数の要素の解析に利用可能な次元削減ツールは複数存在する。最近、あらゆるタイプの高次元データを解析するUMAP（uniform manifold approximation ...

Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...

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UMAP (Uniform Manifold Approximation and Projection) は、高次元データを低次元空間に次元削減し、データの構造を視覚的に表現するのに役立ちます。UMAPに入力するには、データは数値のベクトル形式である必要があります。 点群データは、3D空間における点の集合とし ...

Abstract: Manifold learning is a widely used technique for reducing the dimensionality of complex data to make it more understandable and more efficient to work with. However, current state-of-the-art ...

Single-cell RNA sequencing (scRNA-seq) has become one of the most widely used technologies in basic biology. With the rise of scRNA-seq, the use of UMAP has become ubiquitous in publications. While ...