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hierarchical agglomerative clustering using the clustergram function  (MathWorks Inc)


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    MathWorks Inc hierarchical agglomerative clustering using the clustergram function
    Hierarchical Agglomerative Clustering Using The Clustergram Function, 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/product/hierarchical+clustering+function+(clustergram)+in/10__1128_slash_aac__00547___19-284-15-7
    Average 90 stars, based on 1 article reviews
    hierarchical agglomerative clustering using the clustergram function - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Trem2 H157Y increases soluble TREM2 production and reduces amyloid pathology.
    Article Snippet: Hierarchical clustering was performed in MATLAB using the Clustergram function based on standardized Euclidean distance metric.

    Article Title: Physiological effects of over-expressing compartment-specific components of the protein folding machinery in xylose-fermenting Saccharomyces cerevisiae
    Article Snippet: Hierarchical clustering was performed using the clustergram function in MATLAB R2010b with log values of transcriptional changes.

    Article Title: Alzheimer’s disease: Ablating single master site abolishes tau hyperphosphorylation
    Article Snippet: For plotting in clustergrams (hierarchical clustering analysis data represented as heatmaps; MATLAB function: clustergram; see figs. S6 and S7), relative modulation was calculated from normalized relative densitometric data averaged and weighted on the basis of probability values [ P < 0.05, false discovery rate (FDR) corrected by the Benjamini-Hochberg method] ( , ).

    Article Title: Synergistic Communication between CD4+ T Cells and Monocytes Impacts the Cytokine Environment.
    Article Snippet: Hierarchical clustering was performed using the clustergram function in the MATLAB Bioinformatics toolbox based on Euclidean distance between rows or columns.

    Article Title: Dynamic metabolomics differentiates between carbon and energy starvation in recombinant Saccharomyces cerevisiae fermenting xylose
    Article Snippet: Hierarchical clustering was performed using the clustergram function in MATLAB R2010b with quantified concentrations and normalized chromatographic peak areas of 38 and six metabolites, respectively.

    Article Title: Multiplexed protein maps link subcellular organization to cellular states.
    Article Snippet: INTRODUCTION: Obtainingmultiplexedmolecular readouts from large numbers of single cells in situ is an important technological goal to facilitate scientific discoveries in basic and translational research.. Various methods have been developed in recent years to achieve spatially resolved multiplexed measurements of the abundance of large sets of mRNAs or proteins in biological samples.. These technologies have brought the promise that, through largescale efforts, all functionally relevant cell types of an organism will emerge from such multiplexed data in an unbiased manner.

    Article Title: A computational framework to study sub-cellular RNA localization
    Article Snippet: HIERARCHICAL CLUSTERING OF EXPERIMENTAL DATA In order to further inspect the variability and complexity of the data, we turned to hierarchical clustering (Matlab function clustergram, linkage method ward).

    Article Title: Visualizing translation dynamics at atomic detail inside a bacterial cell
    Article Snippet: Hierarchical clustering analysis was done using the clustergram function in MATLAB 2016b.



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