singlecell-batches / distribution-matching-residual-networks

"We propose a novel deep learning approach for removing systematic batch effects. Our method is based on a residual neural network, trained to minimize the Maximum Mean Discrepancy between the multivariate distributions of two replicates, measured in different batches."

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distribution-matching-residual-networks

"We propose a novel deep learning approach for removing systematic batch effects. Our method is based on a residual neural network, trained to minimize the Maximum Mean Discrepancy between the multivariate distributions of two replicates, measured in different batches."

Project Organization

.
├── 00_data
├── 01_notebooks
├── 02_scripts
├── 03_workflows
├── 04_figures
├── AUTHORS.md
├── LICENSE
├── README.md
└── environment.yml

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"We propose a novel deep learning approach for removing systematic batch effects. Our method is based on a residual neural network, trained to minimize the Maximum Mean Discrepancy between the multivariate distributions of two replicates, measured in different batches."

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