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3d pca graphic  (Plotly Technologies Inc)

 
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    Structured Review

    Plotly Technologies Inc 3d pca graphic
    Data import and exploratory analysis. (A) Two input files are required to begin the analytical pipeline in the app – a gene expression matrix and a metadata that includes sample group labelling. (B) Following data upload, the data summary on samples will be displayed for quick review. (C,D) Exploratory visualisation of data will be provided in a form of 2D principal component analysis <t>(PCA)</t> plot (C) and a <t>3D</t> PCA plot (D) with labelled sample groups.
    3d Pca Graphic, supplied by Plotly Technologies 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/result/3d pca graphic/product/Plotly Technologies Inc
    Average 90 stars, based on 1 article reviews
    3d pca graphic - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data"

    Article Title: Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data

    Journal: Disease Models & Mechanisms

    doi: 10.1242/dmm.049257

    Data import and exploratory analysis. (A) Two input files are required to begin the analytical pipeline in the app – a gene expression matrix and a metadata that includes sample group labelling. (B) Following data upload, the data summary on samples will be displayed for quick review. (C,D) Exploratory visualisation of data will be provided in a form of 2D principal component analysis (PCA) plot (C) and a 3D PCA plot (D) with labelled sample groups.
    Figure Legend Snippet: Data import and exploratory analysis. (A) Two input files are required to begin the analytical pipeline in the app – a gene expression matrix and a metadata that includes sample group labelling. (B) Following data upload, the data summary on samples will be displayed for quick review. (C,D) Exploratory visualisation of data will be provided in a form of 2D principal component analysis (PCA) plot (C) and a 3D PCA plot (D) with labelled sample groups.

    Techniques Used: Gene Expression



    Similar Products

    3d pca graphic  (Plotly Technologies Inc)
    90
    Plotly Technologies Inc 3d pca graphic
    Data import and exploratory analysis. (A) Two input files are required to begin the analytical pipeline in the app – a gene expression matrix and a metadata that includes sample group labelling. (B) Following data upload, the data summary on samples will be displayed for quick review. (C,D) Exploratory visualisation of data will be provided in a form of 2D principal component analysis <t>(PCA)</t> plot (C) and a <t>3D</t> PCA plot (D) with labelled sample groups.
    3d Pca Graphic, supplied by Plotly Technologies 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/result/3d pca graphic/product/Plotly Technologies Inc
    Average 90 stars, based on 1 article reviews
    3d pca graphic - by Bioz Stars, 2026-05
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Data import and exploratory analysis. (A) Two input files are required to begin the analytical pipeline in the app – a gene expression matrix and a metadata that includes sample group labelling. (B) Following data upload, the data summary on samples will be displayed for quick review. (C,D) Exploratory visualisation of data will be provided in a form of 2D principal component analysis (PCA) plot (C) and a 3D PCA plot (D) with labelled sample groups.

    Journal: Disease Models & Mechanisms

    Article Title: Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data

    doi: 10.1242/dmm.049257

    Figure Lengend Snippet: Data import and exploratory analysis. (A) Two input files are required to begin the analytical pipeline in the app – a gene expression matrix and a metadata that includes sample group labelling. (B) Following data upload, the data summary on samples will be displayed for quick review. (C,D) Exploratory visualisation of data will be provided in a form of 2D principal component analysis (PCA) plot (C) and a 3D PCA plot (D) with labelled sample groups.

    Article Snippet: Instructions are displayed on the left-hand side of the plot, under the Plotly mode bar control, and hovering over the 3D PCA graphic itself will also reveal the built-in adjustable options above the sample labels on the top right.

    Techniques: Gene Expression