Interpretable spatially aware dimension reduction of spatial transcriptomics with STAMP.
Europe PMC REST API · 學術索引收錄 · 來源發佈:Tue Oct 15 2024 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收錄:Thu Oct 08 2026 09:08:13 GMT+0000 (Coordinated Universal Time)
已保存的原文節選
Spatial transcriptomics produces high-dimensional gene expression measurements with spatial context. Obtaining a biologically meaningful low-dimensional representation of such data is crucial for effective interpretation and downstream analysis. Here, we present Spatial Transcriptomics Analysis with topic Modeling to uncover spatial Patterns (STAMP), an interpretable spatially aware dimension redu
以上為帶出處的原文節選,完整內容請閱讀原始鏈接。自動收錄與主題分類不等於事實核驗。