CAbiNet: Joint clustering and visualization of cells and genes for single-cell transcriptomics
CAbiNet: Joint clustering and visualization of cells and genes for single-cell transcriptomics
We here provide the data sets to reproduce the results in our manuscript "CAbiNet: Joint clustering and visualization of cells and genes for single-cell transcriptomics". Our package "CAbiNet" can be downloaded from https://github.com/VingronLab/CAbiNet. The scripts to reproduce the results in our manuscript can be found from https://github.com/VingronLab/CAbiNet_paper. You can find the description of folders in 'Data.zip' in the README.md file.
During the peer review of our paper, we generated some new simulated datasets to evaluate the robustness of our model. The data sets are uploaded in this revised version. Please download both Data.zip in 'Version V_0.1' (https://doi.org/10.5281/zenodo.10260709) and robustness.zip in this version to reproduce our results.
- Max Planck Institute for Molecular Genetics Germany
- Max Planck Society Germany
Biclustering algorithm, benchmarking, Single-cell RNA-seq
Biclustering algorithm, benchmarking, Single-cell RNA-seq
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