GEOMETRIC STRUCTURE GUIDED MODEL AND ALGORITHMS FOR COMPLETE DECONVOLUTION OF GENE EXPRESSION DATA.

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第一作者： Duan,Chen

第一单位： Department of Mathematics and Statistics School of Data Science University of North Carolina at Charlotte, USA.

作者： Duan,Chen ^[1] ; Shaoyu,Li ^[2] ; Xue,Wang ^[3]

作者单位： Department of Mathematics and Statistics School of Data Science University of North Carolina at Charlotte, USA. ^[1] Department of Mathematics and Statistics University of North Carolina at Charlotte, USA. ^[2] Department of Quantitative Health Sciences Mayo Clinic, Florida, 32224, USA. ^[3]

关键词 Nonnegative matrix factorization Primary: 65F22, 65Z05 Secondary: 92B05 bulk RNA-seq data complete deconvolution data analysis geometric structure

DOI 10.3934/fods.2022013

PMID 38250319

发布时间 2024-01-23

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Foundations of data science (Springfield, Mo.)

2022年4卷3期

441-466页

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GEOMETRIC STRUCTURE GUIDED MODEL AND ALGORITHMS FOR COMPLETE DECONVOLUTION OF GENE EXPRESSION DATA.

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GEOMETRIC STRUCTURE GUIDED MODEL AND ALGORITHMS FOR COMPLETE DECONVOLUTION OF GENE EXPRESSION DATA.

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Foundations of data science (Springfield, Mo.)

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