ZJUFanLab/bulk2space
a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles
Bulk2Space helps biologists and medical researchers understand gene expression within tissues at a much finer detail. It takes bulk RNA-seq data, which provides an average gene expression for an entire tissue sample, and converts it into a spatially resolved, single-cell view. This allows researchers to see where specific gene activity occurs within the tissue, offering insights into cellular organization and disease mechanisms.
134 stars. No commits in the last 6 months.
Use this if you have bulk RNA-seq data and want to infer the spatial distribution of single-cell gene expression within your tissue samples.
Not ideal if you already have spatially resolved single-cell RNA-seq data and do not need to deconvolve bulk transcriptomes.
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134
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24
Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Mar 22, 2023
Commits (30d)
0
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