Pesca is a computational method to predict and enhance spatial profiling of chromatin accessibility using scATAC-seq data. The accuracy and generalizability of the Pesca-enhanced and -predicted data are validated by existing various ground-truth data including spatial co-profiling data, VISTA results, and epigenomic MEIFISH data.
The tutorial can be found at https://github.com/xmuhuanglab/Pesca/blob/main/Tutorial.md
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