Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data
Most Cited Paper
in Genomics and Chromatin Dynamics
18 Months Post-Publication
Class of 2026
“Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data”
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Topics
LINGER · gene regulatory network inference · Single-cell multiomics · Chromatin accessibility · RNA sequencing · lifelong neural network · atlas-scale external data · Transcription factor binding motifs · manifold regularization · transcription factor activity estimation · genome-wide association studies · disease-associated variants · bulk gene expression data · single-cell gene expression · driver regulators · case-control studies
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Genomics and Chromatin Dynamics Papers, Class of 2026. https://pri.pepkio.com/top-papers/genomics-and-chromatin-dynamics/2026. Accessed 2026-10-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459