Showing 3 open source projects for "pca"

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    componentsOfData

    Funciones que sirven para determinar las componentes principales.

    Se tienen las funciones que determinan las componentes principales (PCA) e independientes (ICA). Se tienen también ejemplos de aplicación para cada caso (tutorial para PCA, transformada de Hotelling, y comparación entre PCA e ICA "problema del coctail").
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    GromacsProSuite

    Graphical User Interface for Gromacs

    ...Built-in monitoring tracks CPU, RAM, and disk usage to ensure stable performance during parallel processing. Beyond simulation execution, it includes advanced trajectory processing and analysis tools such as RMSD, RMSF, SASA, clustering, PCA, hydrogen-bond analysis, Ramachandran plots, and FEL mapping. With integrated visualization and plotting utilities, it offers a unified platform for researchers, educators, and students to perform complete MD workflows efficiently and reproducibly. Our Goal is to bring MD simulations to every biologist's toolkit.
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  • 3
    TOFSIMS

    TOFSIMS

    R/Bioconductor toolkit for mass spectrometry data

    ...The package allows transformation of spectra into 2D image structures (mass images), with operations such as binning, scaling, subsetting, and visual rendering. For data exploration and dimensionality reduction, it includes multivariate methods common in the ToF-SIMS community: PCA (Principal Component Analysis), MCR (Multivariate Curve Resolution), MAF (Maximum Autocorrelation Factors), and MNF (Minimum Noise Fraction). It also interoperates with Bioconductor’s imaging stack (e.g. EBImage) so users can apply segmentation and image analysis operations on mass images.
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