Multivariate analysis software "SIMCA"

We will hold a basic webinar on "Multivariate Analysis Software: SIMCA." SIMCA has been used in research, development, and manufacturing environments that handle large amounts of data. It is equipped with various algorithms and tools for analyzing omics data (such as metabolomics, RNA-seq, GC/MS, LC/MS), mixture analysis data (such as MS, NMR, IR, NIR), and sensory evaluation data, allowing for quick visualization of results through easy mouse operations. In this webinar, we will not only introduce an overview of SIMCA (including projection methods, principal component analysis, regression, and discrimination) but also provide information about advanced technical support services that assist with data analysis, as well as a Python script creation service, along with a Q&A session. Since this is a basic webinar, it is ideal for those who want to start using SIMCA, those who want to learn the basics of multivariate analysis, and those who want to know what can be done with SIMCA. *There will be no on-demand distribution. *Participation from competitors in the same industry is not allowed. *Manufacturers of analytical instruments will be introduced individually, so please contact us. *Please install the latest version of ZOOM.

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.

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

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.