Use of probabilistic graphical models for bioinformatics

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This project will help Sightline Innovation develop new techniques to employ machine learning for biology.Sightline Innovation provides artificial intelligent products and solutions for businesses around the world.Sightline Innovation is working to adapt its artificial intelligence tools for biological data. This data may beDNA, RNA or protein data, and is typically part of large, complex datasets. Machine learning will helpdetermine patterns in this biological data that allow researchers to characterize observable, physical traits inindividuals from the biological data. These traits may include susceptibility to disease or prognosis forrecovery.In this project, Dr. Domaratzki (U.Manitoba) and Dr. Mark Alexiuk (CTO, Sightline Innovation) will worktogether with a research associate to develop new, high-performance tools for bioinformatics datasets. Thesetools will provide critical understanding of causality and correlationship between experimental data and clinicalor observed states in patient data. The research project will also help in developing new and more accuratealgorithms and computational tools to predict future trends. With improved computational tools, SightlineInnovation will be able to improve predictions for a variety of application areas. This represents a contributionto the fundamental machine learning tools developed and employed by Sightline Innovation.