UMAP(Uniform Manifold Approximation and Projection)是一种用于降维和数据可视化的技术,特别适用于高维数据的非线性降维。以下是关于UMAP参数设置的详细解答: 1. UMAP算法的基本原理 UMAP算法基于流形学习和局部相似性的概念,旨在保留数据点在高维空间中的局部结构和全局结构。它通过构建一个模糊拓扑表示,并在低维空间中...
scanpy.pl.umap参数设置 scanpy.pl.umap(adata, *, color=None, gene_symbols=None, use_raw=None, sort_order=True, edges=False, edges_width=0.1, edges_color='grey', neighbors_key=None, arrows=False, arrows_kwds=None, groups=None, components=None, layer=None, projection='2d', scale_factor=...
scanpy.pl.umap(adata, *, color=None, gene_symbols=None, use_raw=None, sort_order=True, edges=False, edges_width=0.1, edges_color='grey', neighbors_key=None, arrows=False, arrows_kwds=None, groups=None, components=None, layer=None, projection='2d', scale_factor=None, colo...