Unsupervised contrastive peak caller for ATAC-seq

Our collaborative manuscript was published in Genome Research today! We worked with Yudi Zhang and Karin Dorman in the Statistics department on a novel peak caller that uses unsupervised contrastive learning to extract shared signals from multiple replicates. We focused on ATAC-seq data and demonstrated that our tool, replicative contrastive learner (RCL), outperformed other methods. Congrats all!

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