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clustergram function  (MathWorks Inc)


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    Structured Review

    MathWorks Inc clustergram function
    Resulting <t>clustergram</t> plot on the presence/absence pathway data for our composite dataset (red = present, black = absent) using a cut height of 0.9 with rows (genomes) and columns (functions) clustered based on Jaccard distance.
    Clustergram Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2278 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/clustergram+function/Statistics+and+Machine+Learning+Toolbox/pmc10348482-91-14-25
    Average 96 stars, based on 2278 article reviews
    clustergram function - by Bioz Stars, 2026-09
    96/100 stars

    Images

    1) Product Images from "Identification of microbial metabolic functional guilds from large genomic datasets"

    Article Title: Identification of microbial metabolic functional guilds from large genomic datasets

    Journal: Frontiers in Microbiology

    doi: 10.3389/fmicb.2023.1197329

    Resulting clustergram plot on the presence/absence pathway data for our composite dataset (red = present, black = absent) using a cut height of 0.9 with rows (genomes) and columns (functions) clustered based on Jaccard distance.
    Figure Legend Snippet: Resulting clustergram plot on the presence/absence pathway data for our composite dataset (red = present, black = absent) using a cut height of 0.9 with rows (genomes) and columns (functions) clustered based on Jaccard distance.

    Techniques Used:

    The distribution of guild sizes (number of functions) and the number of mapback genomes for guilds generated with clustergram at cut heights of 0.9 (blue square) and 1 (purple plus sign) as well as for AB. AB approach 1 (red circle) defined guilds using a fixed size of 5 functions while AB approach 2 (green triangle) defined guilds using a minimum mapback genome cut-off of 100. Points were jittered using the built-in position_jitter function in the ggplot2 package v3.4.2 with h = 0.1, w = 0.35 using the random seed 123.
    Figure Legend Snippet: The distribution of guild sizes (number of functions) and the number of mapback genomes for guilds generated with clustergram at cut heights of 0.9 (blue square) and 1 (purple plus sign) as well as for AB. AB approach 1 (red circle) defined guilds using a fixed size of 5 functions while AB approach 2 (green triangle) defined guilds using a minimum mapback genome cut-off of 100. Points were jittered using the built-in position_jitter function in the ggplot2 package v3.4.2 with h = 0.1, w = 0.35 using the random seed 123.

    Techniques Used: Generated

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    Article Title: On the potential sources of a low-frequency sound percept that only a few can perceive.
    Article Snippet: The statistics and machine learning toolbox was used in MATLAB 2024b (The MathWorks, Inc., Natick, Massachusetts, USA) for statistical analysis.

    Article Title: Quantitative mapping of meniscus morphology using advanced imaging analysis in young patients.
    Article Snippet: Principal component analysis (PCA) using the Statistics and Machine Learning Toolbox in MATLAB R2023a) was performed on the vertex coordinates to identify the primary anatomical axes for each meniscus [24].

    Article Title: Normative Data of Higher-Order Aberrations in Healthy Caucasian Eyes and Their Correlation with Age, Gender, and Spherical Equivalent
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    Article Title: Decoding intended speech with an intracortical brain-computer interface in a person with long-standing anarthria and locked-in syndrome.
    Article Snippet: The resulting (40x40) symmetric distance matrix was used for hierarchical clustering with Ward’s minimum-variance linkage (MATLAB R2026a, Statistics and Machine Learning Toolbox).

    Article Title: Pharmacokinetic modelling during long-term anesthesia: minimizing the gap
    Article Snippet: All these tools were used from the Statistics and Machine Learning Toolbox® in MATLAB®.

    Article Title: Tractography-based correlation of diffusion anisotropy metrics in chronic post-stroke aphasia.
    Article Snippet: Classification procedures were implemented using the Statistics and Machine Learning Toolbox (MATLAB R2023a; MathWorks, Natick, MA), which facilitates supervised model development, cross-validation (CV), and quantitative performance assessment.

    Article Title: Protocol for identifying and comparing neuronal ensembles using different algorithms within a graphical user interface
    Article Snippet: MATLAB Statistics and Machine Learning Toolbox , MathWorks , https://www.mathworks.com/products/statistics.html.

    Article Title: Dynamic modulation of social gaze by sex and familiarity in marmoset dyads
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