C0nc/River
A Python package for identification Differential Spatial Expression Pattern (DESP) gene by interpretable deep learning from multi-slice spatial omics data.
This tool helps biologists and genetic researchers pinpoint genes that show distinct spatial expression patterns across multiple tissue slices. You input multi-slice spatial omics data (like Stereo-seq or Slide-seq) and it outputs identified Differential Spatial Expression Pattern (DSEP) genes, along with options for further analysis of these genes. This is for scientists analyzing gene expression in complex tissues, especially across different developmental stages or disease states.
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Use this if you need to identify and analyze genes whose expression varies significantly across different spatial locations or tissue slices in your omics data.
Not ideal if you are not working with multi-slice spatial omics data or if your primary goal is not gene expression pattern analysis.
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Aug 08, 2024
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