Advanced Chemometrics for Enhanced Data Analysis
Leverage sophisticated multivariate analysis tools such as PCA, PLS, and SIMCA for in-depth data exploration, regression, and classification. The user-friendly interface ensures seamless integration of spectral data with analysis results, making it ideal for advanced users seeking powerful chemometric techniques for comprehensive data analysis.
Benefits:
- All-in-One Solution: Offers seamless spectral processing, binning, and analysis with just a few clicks, simplifying workflows and managing complex data efficiently in a single platform.
- Incorporates Recognized Methods: Includes PCA, PLS, and SIMCA for advanced data analysis and unsupervised chemometrics.
- Powerful and Intuitive Interface: Provides a user-friendly design for a streamlined analysis experience.
- Improved Classification and Prediction: Classifies samples with SIMCA and builds predictive models using PLS.
- Noise and Outlier Reduction: Effectively reduces noise and detects outliers, ensuring accurate and reliable results.
- Expandable Plugin: Features Higher Order Structure (HOS) capabilities, powered by Mnova BioHOS.
Features:
New MCR Tool for Peak Purity Assessment in LCMS Data
Introduces an MCR tool based on the MCR-ALS algorithm for peak purity assessment, providing comprehensive tables and plots to streamline LCMS data analysis and enhance decision-making. This tool is available with the Advanced Chemometrics or BioHOS plugins and requires an MSChrom plugin license.
Mestrelab Research: Mnova Advanced Chemometrics - New MCR Tool for Peak Purity Assessment in LCMS Data
Enhanced Data Analysis with Partial Least Squares (PLS) Regression
Facilitates comprehensive analysis and accurate prediction of dependent variables from independent variables (such as binned spectra), while also providing intuitive graphical evaluation tools for deeper insights.
Mestrelab Research: Mnova Advanced Chemometrics - Enhanced Data Analysis with Partial Least Squares (PLS) Regression
Advanced Data Classification with SIMCA Modeling
Offers a powerful statistical method for supervised classification of data, allowing researchers to categorize and analyze complex datasets with precision.
Mestrelab Research: Mnova Advanced Chemometrics - Advanced Data Classification with SIMCA Modeling
Advanced PCA Analysis for In-Depth Data Insights
Provides features for comprehensive data exploration and visualization, including quantile plots (1D NMR), comparison tools, plot labels display, enhanced selection and interactivity in scores and loadings plots, and additional distance. calculation options in scores plots. These enhancements enable precise, interactive analysis for deeper data insights.
Mestrelab Research: Mnova Advanced Chemometrics - Advanced PCA Analysis for In-Depth Data Insights
