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coupled nmf  (MathWorks Inc)


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    MathWorks Inc coupled nmf
    Summary of integration methods for single-cell transcriptome data 单细胞转录组数据整合方法的概览
    Coupled Nmf, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/coupled nmf/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    coupled nmf - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "单细胞数据的整合方法综述"

    Article Title: 单细胞数据的整合方法综述

    Journal: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering

    doi: 10.7507/1001-5515.202104073

    Summary of integration methods for single-cell transcriptome data 单细胞转录组数据整合方法的概览
    Figure Legend Snippet: Summary of integration methods for single-cell transcriptome data 单细胞转录组数据整合方法的概览

    Techniques Used:

    Summary of integration methods for multimodal single-cell data 单细胞多模态数据整合方法的概览
    Figure Legend Snippet: Summary of integration methods for multimodal single-cell data 单细胞多模态数据整合方法的概览

    Techniques Used:



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    coupled nmf  (MathWorks Inc)
    90
    MathWorks Inc coupled nmf
    Summary of integration methods for single-cell transcriptome data 单细胞转录组数据整合方法的概览
    Coupled Nmf, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/coupled nmf/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    coupled nmf - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

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    Summary of integration methods for single-cell transcriptome data 单细胞转录组数据整合方法的概览

    Journal: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering

    Article Title: 单细胞数据的整合方法综述

    doi: 10.7507/1001-5515.202104073

    Figure Lengend Snippet: Summary of integration methods for single-cell transcriptome data 单细胞转录组数据整合方法的概览

    Article Snippet: 表 2 方法名称 数据 主要算法 语言 文献 Seurat V3 转录组+染色质可及性/蛋白组 CCA、锚点(MNN) R [ 6 ] Conos 转录组+染色质可及性 MNN、联合聚类 R [ 12 ] LIGER 转录组+染色质可及性/甲基化 iNMF、联合聚类 R [ 13 ] Coupled NMF 转录组+染色质可及性 非负矩阵分解、耦合聚类 Matlab [ 34 ] DC3 转录组+染色质可及性/染色体构象; 单细胞+群体细胞 非负矩阵分解、耦合聚类、解卷积 Matlab [ 35 ] MOFA 转录组+甲基化 贝叶斯多组分因子分析 R [ 36 ] MATCHER 转录组+染色质可及性+甲基化+组蛋白修饰 GPLVM、QN Python [ 37 ] Open in a separate window Summary of integration methods for multimodal single-cell data 单细胞多模态数据整合方法的概览.

    Techniques:

    Summary of integration methods for multimodal single-cell data 单细胞多模态数据整合方法的概览

    Journal: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering

    Article Title: 单细胞数据的整合方法综述

    doi: 10.7507/1001-5515.202104073

    Figure Lengend Snippet: Summary of integration methods for multimodal single-cell data 单细胞多模态数据整合方法的概览

    Article Snippet: 表 2 方法名称 数据 主要算法 语言 文献 Seurat V3 转录组+染色质可及性/蛋白组 CCA、锚点(MNN) R [ 6 ] Conos 转录组+染色质可及性 MNN、联合聚类 R [ 12 ] LIGER 转录组+染色质可及性/甲基化 iNMF、联合聚类 R [ 13 ] Coupled NMF 转录组+染色质可及性 非负矩阵分解、耦合聚类 Matlab [ 34 ] DC3 转录组+染色质可及性/染色体构象; 单细胞+群体细胞 非负矩阵分解、耦合聚类、解卷积 Matlab [ 35 ] MOFA 转录组+甲基化 贝叶斯多组分因子分析 R [ 36 ] MATCHER 转录组+染色质可及性+甲基化+组蛋白修饰 GPLVM、QN Python [ 37 ] Open in a separate window Summary of integration methods for multimodal single-cell data 单细胞多模态数据整合方法的概览.

    Techniques: