Author

Shi Fang

Georgia Institute of TechnologyORCID 0000-0001-7095-6997Unclaimed ORCID profile · follow to get notified of new preprints

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Shi Fang2 papers · Broad Institute

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scATAC-seq· 1

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Alessandro Ferrari· 1 shared Anne Dodd· 1 shared Greg C. GibsoniD· 1 shared Margaret A. BrowniD· 1 shared Russell D. WolfingeriD· 1 shared Subra KugathasaniD· 1 shared Vasantha L. KolachalaiD· 1 shared

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Alessandro Ferrari

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Recent·Most cited

BioinformaticsbioRxivPreprintJul 25, 2025

snATAC-Express infers Gene Expression from Prioritized Chromatin Accessibility Peaks using Machine Learning

Margaret A. Brown, Alessandro Ferrari, Anne Dodd…·Greg C. Gibson

The paper develops a machine learning pipeline to infer gene expression from chromatin accessibility peaks using single nuclear multi-omic data, finding that important peaks are enriched in GWAS variants for inflammatory bowel disease and lupus.

DOI 10.1101/2025.07.25.666784

humanscATAC-seq

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