
GitHub - YeoLab/bento-tools: A Python toolkit for subcellular …
Bento is a Python toolkit for performing subcellular analysis of spatial transcriptomics data. The package is part of the Scverse ecosystem. Check out the documentation for installation instructions, tutorials, and API. For questions and troubleshooting, visit the #bento stream @ the Scverse Zulip chat! Cite our paper if you use Bento in your ...
Bento | bento-tools - Read the Docs
Bento is a Python toolkit for performing subcellular analysis of spatial transcriptomics data. The package is part of the Scverse ecosystem. Check out the documentation for installation instructions, tutorials, and API. Cite our preprint if you use Bento in your work. Thanks!
Releases · YeoLab/bento-tools - GitHub
2024年12月18日 · A Python toolkit for subcellular analysis of spatial transcriptomics data - YeoLab/bento-tools
bento-tools · PyPI
2024年12月23日 · Bento is a Python toolkit for performing subcellular analysis of spatial transcriptomics data. The package is part of the Scverse ecosystem. Check out the documentation for installation instructions, tutorials, and API. For questions and troubleshooting, visit the #bento stream @ the Scverse Zulip chat! Cite our paper if you use Bento in your work.
Main Guide | bento-tools - Read the Docs
2024年12月23日 · Let’s visualize the data to gain a better intuition for the dataset. Spatial plotting functions in bento-tools automatically render cell and nuclear boundaries by default. We then overlay the transcript density on top with bt.pl.density().
Bento: a toolkit for subcellular analysis of spatial transcriptomics ...
2024年4月2日 · We present Bento, a Python toolkit that takes advantage of single-molecule information to enable spatial analysis at the subcellular scale. Bento ingests molecular coordinates and segmentation boundaries to perform three analyses: defining subcellular domains, annotating localization patterns, and quantifying gene–gene colocalization.
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bento-tools/README.md at master · YeoLab/bento-tools - GitHub
Bento is a Python toolkit for performing subcellular analysis of spatial transcriptomics data. The package is part of the Scverse ecosystem. Check out the documentation for installation instructions, tutorials, and API. For questions and troubleshooting, visit the #bento stream @ the Scverse Zulip chat! Cite our paper if you use Bento in your ...
API | bento-tools - Read the Docs
Bento provides a set of tools to analyze the spatial composition of cells and molecules. These tools are designed to work with SpatialData objects and can be used to compute spatial summary statistics, shape features, and RNA localization patterns.
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