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NOBEL PRIZE 2026

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NIHNATIONAL INSTITUTE ON AGINGR01

Administrative Supplement: Enhancing cell-type-specific inference with millions of snRNA-seq and deep learning methods

Active
Institution
UNIV OF NORTH CAROLINA CHAPEL HILL, NC
Principal investigator
Yun Li
Funding
$91K
Duration
2023–2028
Open portfolio

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Abstract

Abstract The proposed Diversity Supplement will extend the original parent R01 in two aspects. First, innovative deep learning models will be employed to perform aggressive deconvolution to complement the empirical Bayesian method proposed in the parent R01. Second, the Supplement will leverage additional single cell omics data that became available after the funding of the parent R01. Specifically, we anticipate much enhanced deconvolution using as reference newly published single nuclei RNA- sequencing data, containing ~2.3 million nuclei from 427 donors.

Research team

  • Yun LiPI
  • Yin ShenPI

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R01NATIONAL INSTITUTE ON AGINGGenomics, Computational Biology and Technology Study Section[GCAT]deconvolutionsupplementnucleiparentdeep learningabstract proposedsingle nucleisnrna-seq

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