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Bayesian Segmentation of Spatial Transcriptomics Data
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Bayesian segmentation of imaging-based spatial transcriptomics data.
Baysor finds cells from molecule positions and gene composition, with or
without a prior segmentation. This is the native C++ release cpp-0.9.0.
Linux x86-64 — download the release binary and run on your molecule table:
Docker — from the directory containing molecules.csv:
The table needs x, y and gene columns (optional z for 3D).
30 molecules and radius 8 are examples, not universal settings.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Bayesian segmentation of imaging-based spatial transcriptomics data.
Baysor finds cells from molecule positions and gene composition, with or
without a prior segmentation. This is the native C++ release cpp-0.9.0.
Linux x86-64 — download the release binary and run on your molecule table:
Docker — from the directory containing molecules.csv:
The table needs x, y and gene columns (optional z for 3D).
30 molecules and radius 8 are examples, not universal settings.檢視完整 README ↗