BERMAD: batch effect removal for single-cell RNA-seq data using a multi-layer adaptation autoencoder with dual-channel framework.

Published in: Bioinformatics (Oxford, England) (2024)

The code implemented in Python and the data used for experiments have been released on GitHub (https://github.com/zhanglabNKU/BERMAD) and Zenodo (https://zenodo.org/records/10695073) with detailed instructions.

Keyphrases

rna seq
single cell
electronic health record
high throughput
big data
machine learning
deep learning
artificial intelligence