JChander/DeepRIG
A deep model infers gene regulation networks from scRNA-seq data.
This tool helps computational biologists and geneticists understand how genes regulate each other based on single-cell RNA sequencing (scRNA-seq) data. It takes your scRNA-seq gene expression matrices as input and outputs a ranked list of inferred gene regulatory associations, helping you identify key regulatory relationships within cells or specific cell types. Researchers studying cell differentiation, disease mechanisms, or gene function would find this project useful.
No commits in the last 6 months.
Use this if you need to uncover complex, non-linear gene regulation networks from your single-cell gene expression data.
Not ideal if you are working with bulk RNA-seq data or if your primary goal is not gene regulatory network inference.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Aug 01, 2024
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