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custom matlab codes for running tsne and data separation  (MathWorks Inc)


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    MathWorks Inc custom matlab codes for running tsne and data separation
    Custom Matlab Codes For Running Tsne And Data Separation, 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/data+custom+code/pm37549133-300-9-5
    Average 90 stars, based on 1 article reviews
    custom matlab codes for running tsne and data separation - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Imaging:

    Article Title: Spatial profiling of microbial communities by sequential FISH with error-robust encoding
    Article Snippet: For each data point (i.e. bacterial cell), the 24 dimensional data (8 imaging rounds × 3 fluorescence channels) is reduced to 2 dimensions by ‘tsne’ function in MATLAB (parameters are set as, LearnRate: 200; Perplexity: 20; Exaggeration: 10).

    Article Title: First Trimester Prediction of Preterm Birth in Patient Plasma with Machine-Learning-Guided Raman Spectroscopy and Metabolomics.
    Article Snippet: Preterm birth (PTB) is the leading cause of infant deaths globally.. Current clinical measures often fail to identify women who may deliver preterm.. Therefore, accurate screening tools are imperative for early prediction of PTB.

    Article Title: Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data
    Article Snippet: The mean value of the Jaccard similarity coefficients (comparing reaction presence) was then calculated for all model pairs within the same pool size and level of contamination. t-SNE and PCA The “tsne” function in MATLAB was used to generate t-distributed stochastic neighbor embedding (t-SNE) (21) coordinates from the model structure.

    Article Title: Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target.
    Article Snippet: Clustering was then performed on the t-SNE reduced data using the MATLAB ‘kmeans’ function with the Euclidean distance and ten replicates and five clusters (five clusters were chosen as there were five genotypes included in the study).

    Article Title: Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers
    Article Snippet: Then, for the three Balanced-X datasets, we used the top-20 features to visualize t-SNE clusters. t-SNE plots were generated using MATLAB's ‘tsne’ function with the Barnes–Hut algorithm keeping the Barnes–Hut trade-off parameter at 0.5 to increase processing speed for large datasets.

    Article Title: A unified central thalamus mechanism underlying diverse recoveries in disorders of consciousness
    Article Snippet: It was implemented using the ’tsne’ function in MATLAB, initialized with the default parameter, rng(’default’) .

    Article Title: Metabolic Perturbation Score-Based Mass Spectrometry Imaging Spatially Resolves a Functional Metabolic Response.
    Article Snippet: The built-in “tsne” function in the MATLAB was used to complete the dimension reduction and unsupervised machine learning.

    Fluorescence:

    Article Title: Spatial profiling of microbial communities by sequential FISH with error-robust encoding
    Article Snippet: For each data point (i.e. bacterial cell), the 24 dimensional data (8 imaging rounds × 3 fluorescence channels) is reduced to 2 dimensions by ‘tsne’ function in MATLAB (parameters are set as, LearnRate: 200; Perplexity: 20; Exaggeration: 10).

    Article Title: First Trimester Prediction of Preterm Birth in Patient Plasma with Machine-Learning-Guided Raman Spectroscopy and Metabolomics.
    Article Snippet: Preterm birth (PTB) is the leading cause of infant deaths globally.. Current clinical measures often fail to identify women who may deliver preterm.. Therefore, accurate screening tools are imperative for early prediction of PTB.

    Article Title: Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data
    Article Snippet: The mean value of the Jaccard similarity coefficients (comparing reaction presence) was then calculated for all model pairs within the same pool size and level of contamination. t-SNE and PCA The “tsne” function in MATLAB was used to generate t-distributed stochastic neighbor embedding (t-SNE) (21) coordinates from the model structure.

    Article Title: Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target.
    Article Snippet: Clustering was then performed on the t-SNE reduced data using the MATLAB ‘kmeans’ function with the Euclidean distance and ten replicates and five clusters (five clusters were chosen as there were five genotypes included in the study).

    Article Title: Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers
    Article Snippet: Then, for the three Balanced-X datasets, we used the top-20 features to visualize t-SNE clusters. t-SNE plots were generated using MATLAB's ‘tsne’ function with the Barnes–Hut algorithm keeping the Barnes–Hut trade-off parameter at 0.5 to increase processing speed for large datasets.

    Article Title: A unified central thalamus mechanism underlying diverse recoveries in disorders of consciousness
    Article Snippet: It was implemented using the ’tsne’ function in MATLAB, initialized with the default parameter, rng(’default’) .

    Article Title: Metabolic Perturbation Score-Based Mass Spectrometry Imaging Spatially Resolves a Functional Metabolic Response.
    Article Snippet: The built-in “tsne” function in the MATLAB was used to complete the dimension reduction and unsupervised machine learning.



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    Article Snippet: ThesisCode: Custom R code for analyzing qPCR data from Fluidigm BioMark system , This paper , https://doi.org/10.5281/zenodo.7023900.

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