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mixOmics

From Single to Multi-Omics Data Integration

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      • (s)PLS – two omics
      • (r)CCA – two omics
      • Intro to multiomics – Design Matrix
      • DIABLO – multiomics
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      • plotIndiv()
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      • plotVar()
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      • cim()
      • circos()
  • Case Studies
    • Single Omics
      • sPCA Multidrug Case Study
      • sPLSDA SRBCT Case Study
      • sIPCA Liver Toxicity Case Study
    • N-Integration
      • sPLS Liver Toxicity Case Study – two omics
      • rCCA Nutrimouse Case Study – two omics
      • DIABLO TCGA Case Study – multiomics
      • More DIABLO Examples – multiomics
      • Multiblock sPLS Gastrulation (Single Cell) Case Study – multiomics
    • P-integration
      • MINT Stem Cells Case Study
      • MINT Microbial Case Study
    • Microbiome
      • Koren Bodysites Case Study
      • HMP Bodysites Case Study
      • mixMC/mixKernel Tara Ocean Case Study
    • Multilevel
      • Multilevel Vac18 Case Study
      • Multilevel Liver Toxicity Case Study
    • Cases where the methods fail
      • SRBCT sPLS-DA Case Study (Permuted Labels)
      • Gastrulation Multiblock sPLS Case Study (Inappropriate data)
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Month: March 2011

New Function: (s)PCA added

  • New function pca and spca are now available to perform Principal Component Analysis (PCA) and sparse PCA for variable selection
  • The S3 methods plotVar, plot3dVar, plotIndiv, plot3dIndiv were modified to generate graphical results for pca and spca
Author adminPosted on March 1, 2011Categories Case Studies, Graphics, Methods, News, Publications, Research

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mixOmics user forum
  • Get Started
    • Get Started
    • The mixOmics package
    • Installation
    • Select your Method
    • mixOmics workflow
    • Who uses mixOmics?
  • News
  • Workshops
  • Resources
    • Resources Overview
    • Vignette
    • Book
    • mixOmics Publications
    • Webinars
    • Forum
    • Glossary
    • FAQ
    • Common Issues and Errors
  • Methods
    • Preprocessing
      • Missing Values
      • Multilevel
    • Performance Assessment and Parameter Tuning
      • Key concepts
      • Parameter Tuning
      • Performance Assessment
      • Distance Metrics
    • Single Omics
      • (s)PCA
      • (s)IPCA
      • (s)PLS-DA
    • N-Integration
      • (s)PLS – two omics
      • (r)CCA – two omics
      • Intro to multiomics – Design Matrix
      • DIABLO – multiomics
      • Multiblock (s)PLS – multiomics
    • P-integration
      • MINT
    • Microbiome
      • mixMC Preprocessing
      • mixMC Methodology
  • Plots
    • Plotting overview
    • Sample Plots
      • plotIndiv()
      • plotArrow()
    • Variable Plots
      • plotVar()
      • biplot()
      • plotLoadings()
      • network()
      • cim()
      • circos()
  • Case Studies
    • Single Omics
      • sPCA Multidrug Case Study
      • sPLSDA SRBCT Case Study
      • sIPCA Liver Toxicity Case Study
    • N-Integration
      • sPLS Liver Toxicity Case Study – two omics
      • rCCA Nutrimouse Case Study – two omics
      • DIABLO TCGA Case Study – multiomics
      • More DIABLO Examples – multiomics
      • Multiblock sPLS Gastrulation (Single Cell) Case Study – multiomics
    • P-integration
      • MINT Stem Cells Case Study
      • MINT Microbial Case Study
    • Microbiome
      • Koren Bodysites Case Study
      • HMP Bodysites Case Study
      • mixMC/mixKernel Tara Ocean Case Study
    • Multilevel
      • Multilevel Vac18 Case Study
      • Multilevel Liver Toxicity Case Study
    • Cases where the methods fail
      • SRBCT sPLS-DA Case Study (Permuted Labels)
      • Gastrulation Multiblock sPLS Case Study (Inappropriate data)
  • About
    • About
    • Citing mixOmics
    • The mixOmics team
    • Collaborations
    • Acknowledgements
    • Contact us
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