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A python tool to investigate cell overlaps in imaging-based spatial transcriptomics data.
Multiple Fill, Color and Other Scales in `ggplot2`
An open and interoperable data framework for spatial omics data
A tiny Python library for writing multi-channel TIFF stacks.
Bio-Formats image file format to raw format converter
Morphological snakes for image segmentation and tracking
CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.
dcHiC: Differential compartment analysis for Hi-C datasets
LPIPS metric. pip install lpips
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Utils and convenience functions for large-scale bio-image analysis.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
A fast, simple & powerful blog framework, powered by Node.js.
tools for finding discrete bright spots in images (for multiplexed FISH, includes background subtraction, deconv, and blob detection)
Analyzing cellular niches in spatial transcriptomics data
Feature extraction from GEOJson nuclei and tissue segmentation maps
ClusterMap for multi-scale clustering analysis of spatial gene expression