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Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-cell datasets.
Code corresponding to Weinand et al., Defining effective strategies to integrate multi-sample single-nucleus ATAC-seq datasets via a multimodal-guided approach,…
A thorough tutorial on HLA imputation and association, accompanying our manuscript "Tutorial: A statistical genetics guide to identifying HLA alleles driving co…
Code corresponding to Weinand et al., The chromatin landscape of pathogenic transcriptional cell states in rheumatoid arthritis, Nature Communications, 2024