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New MUSS model enhances single-cell gene regulation analysis

By PulseAugur Editorial · [1 sources] ·

Researchers have developed MUSS, a novel multi-scale and sequence-based model designed to improve the understanding of gene regulation in single cells. This model integrates DNA sequence information with chromatin accessibility and gene expression data, preserving both DNA-level and cell-level resolution. MUSS has demonstrated strong performance across various tasks, including gene expression prediction and cell clustering, outperforming existing baseline models. AI

IMPACT This model could advance biological research by providing a more nuanced understanding of gene regulation at the cellular level.

RANK_REASON The cluster describes a new research paper detailing a novel model for a specific scientific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New MUSS model enhances single-cell gene regulation analysis

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The cluster describes a new research paper detailing a novel model for a specific scientific domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Kangjie Zheng, Amirhossein Vahidi, Liying Jin, Joseph Clarke, Vijaya Baskar MS, Connor Rogerson, Mengji Zhang, Muzlifah Haniffa, Anshul Kundaje, Mo Lotfollahi ·

    MUSS: A Multi-scale and Sequence-based Model for Single-cell Gene Regulation

    arXiv:2611.08086v1 Announce Type: new Abstract: Modeling gene regulation in single cells requires jointly representing DNA sequence, chromatin accessibility, and gene expression across regulatory scales. Sequence-based models capture DNA-level regulatory grammar but often lack ce…

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