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clustergram function  (MathWorks Inc)


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    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 1967 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/clustergram function/product/MathWorks Inc
    Average 96 stars, based on 1967 article reviews
    clustergram function - by Bioz Stars, 2026-03
    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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    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.
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    Image Search Results


    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.

    Journal: Frontiers in Microbiology

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

    doi: 10.3389/fmicb.2023.1197329

    Figure Lengend 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.

    Article Snippet: We also analyzed our composite dataset using an agglomerative hierarchical clustering method using the clustergram function from the Statistics and Machine Learning toolbox v12.1 from MATLAB R2021a (The Math Works, ).

    Techniques:

    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.

    Journal: Frontiers in Microbiology

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

    doi: 10.3389/fmicb.2023.1197329

    Figure Lengend 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.

    Article Snippet: We also analyzed our composite dataset using an agglomerative hierarchical clustering method using the clustergram function from the Statistics and Machine Learning toolbox v12.1 from MATLAB R2021a (The Math Works, ).

    Techniques: Generated