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Data Analysis of Mitochondrial Metabonomics


CD Mitochondria relies on a professional team, rich experience, and mature platforms to provide PLS-DA, OPLS-DA, and PCA services. We have established a model of the relationship between metabolite expression and sample categories.

Because metabolomic data are usually composed of dozens of features (peaks, compounds), and many of these change as a function of time, phenotype, or different experimental conditions, multivariate data analysis is desired for analyzing metabolomic data.

Multivariate analysis (MVA) is founded on the statistical principle of multivariate statistics, which involves simultaneous observation and analysis of more than two statistical outcome variables at a time. Because agent models are in the form of equations, they can be estimated very quickly, which makes large-scale MVA possible.

MVA includes a lot of techniques, such as PCA, multivariate ANOVA, multivariate regression analysis, factor analysis, and discriminant analysis. CD Mitochondria supports multiple widely used multivariate methods such as PCA and PLS-DA,OPLS-DA. These three methods are very useful for metabolomic data analysis through dimensional reduction and data visualization.

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CD Mitochondria always provides you with customized services for mitochondrial research, and our one-stop research and analysis platform can meet all your research needs.

Our Advantages

  • Rich experience in data analysis of mitochondrial metabonomics
  • Outstanding research team
  • Unique integrated service for mitochondrial research
  • Reliable data and results
  • Rapid turnaround and cost-effective

CD Mitochondria has the most professional team to serve customers around the world. If you have any questions about the content of this service, please feel free to contact us. We look forward to your contact.

For Research Use Only. Not For Clinical Use Or Individual Users.

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