On October 30th (15:00 to 15:30), we will hold an advanced webinar on "Multivariate Analysis Software: SIMCA" focusing on the discriminant model OPLS-DA. SIMCA is widely used in research and development settings that handle large data sets. In this webinar, we will focus on "Discrimination: OPLS-DA" and include demonstrations and case studies. ● OPLS-DA An enhanced model of PLS-DA. By rotating the axes to maximize the separation between classes, it makes discrimination between classes easier. Additionally, by utilizing the S-plot, reliable marker candidates that are difficult to identify from the loading plot can be visualized instantly. For example: * I want to explore biomarker candidates from case-control data. * I am struggling to find significant features as the T-test only reveals false positive-like factors. 【Registration】 Please register at https://form.k3r.jp/infocom_science/251030_SIMCA_webinar_a_OPLSDA. * Participation from competitors in the same industry is not allowed. * Please ensure you have the latest version of ZOOM installed.

An advanced webinar on "Multivariate Analysis Software: SIMCA" (Regression Model OPLS) will be held on September 26, 2025, from 15:00 to 15:30. SIMCA is a multivariate analysis software that is well-regarded in fields handling large data sets, offering features for overview, regression, discrimination, and classification. In this webinar, we will focus on 'Regression: OPLS' and include short demonstrations and case studies (three are planned). ● OPLS: Orthogonal Partial Least Squares A superior model to PLS. By rotating so that the Y variable becomes the first axis, interpretation is made easier. This model allows for the prediction of target variables and factor analysis. Example of OPLS usage: * Set the coffee quality evaluation score as the target variable, find the factors that contribute most from the metabolic profile GC/MS data, and further predict the quality evaluation score from the GC/MS data. * While PLS was able to identify the most contributing factors, determining the second and third most contributing factors was difficult. In contrast, OPLS made this identification easy.

We will be exhibiting at the 19th Metabolome Symposium. Please be sure to stop by our booth when you attend.

AnalyzerPro XD is a data processing software for GC/MS and LC/MS that supports data formats from major mass spectrometry (MS) manufacturers. It is widely used to enhance the efficiency of analytical tasks in research and development as well as manufacturing. 1. Reading major MS data 2. Extraction of component spectra through deconvolution 3. Library search in NIST format 4. Comprehensive non-target analysis 5. Creation and utilization of target libraries 6. Alignment of multiple samples 7. Visualization and feature component exploration through statistical and multivariate analysis 8. Data processing for 2D chromatographic MS and direct MS (optional) In this webinar, we will introduce an overview of AnalyzerPro XD and demonstrate the processing of GC/MS data from food samples, showing how to quickly and easily visualize information from complex sample data to aid in decision-making. Participation is free. Please feel free to join us.

We will hold a basic webinar on "Multivariate Analysis Software: SIMCA" on August 26, 2025 (15:00 to 15:30). SIMCA is used in research, development, and manufacturing environments that handle large amounts of data, equipped with various algorithms and tools that provide excellent analytical capabilities and quickly visualize results with easy mouse operations. There are many users, especially in fields such as omics data (GC/MS, LC/MS, NMR, RNA-seq, etc.), mixture analysis data (MS, NMR, IR, NIR, etc.), and sensory evaluation analysis. In this webinar, we will not only introduce an overview of SIMCA (projection methods, principal component analysis, regression, discrimination) but also present our advanced technical support services that assist with customer data analysis, which started last year, and our Python script creation service, along with a Q&A session. We will answer questions such as, "I want to start multivariate analysis but don't know how," "I've heard of SIMCA in chemometrics but don't know the details," and "Can I analyze mass spectrometry or sensory evaluation data using multivariate analysis?"