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Updated: Jul 21, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

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NLRRC:一种新的集群方法,将非负的LRR和随机步行图规范的NMF连接起来,用于单细胞类型识别

Juan Wang, Lin-Ping Wang, Sha-Sha Yuan

    IEEE journal of biomedical and health informatics
    |July 28, 2023
    PubMed
    概括

    这项研究引入了NLRRC,这是一种用于单细胞类型识别的新型矩阵因子化方法. NLRRC有效地将单细胞RNA测序 (scRNA-seq) 数据中的细胞聚集在一起,克服噪音和学挑战.

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    One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

    One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

    This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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