06/11/2020
Investigator ML Software for Pattern Recognition
This past academic year, GC Image™ sponsored a student-group project to further develop Investigator ML™, a program in the GC Image software suite for multidimensional chromatography that uses machine learning (ML) to perform pattern recognition tasks such as classification, identification, regression, and other tasks. A team of six upper-division undergraduate students in the Computer Science and Engineering (CSE) Department at the University of Nebraska – Lincoln (UNL) undertook the project to extend the software’s pattern recognition capabilities from binary-class problems to multi-class problems, to add several additional pattern recognition algorithms, and to improve the software architecture and testing infrastructure. The year was especially challenging because all of their work after mid-March was done remotely, but the team did a great job and were quite successful. Here are links to a project summary and video produced by the students:
https://cse.unl.edu/senior-design/showcase-projects
https://www.youtube.com/watch?v=OK5T_eWrBvA&feature=youtu.be
Based on that work, GC Image plans to soon release a new version of Investigator ML software to support multi-class pattern recognition from chromatographic analyses of complex sample sets with linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), regularized discriminant analysis (RDA), k-nearest neighbor (KNN), and linear regression (LR).
If you are interested in serving as a beta-tester for the upcoming new version of GC Image Investigator ML, please send email to [email protected].
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