Reference number : GC-2017-Q3-00613, amendment number : , agreement type : G, recipient legal name : Domaratzki, Michael (University of Manitoba)|Domaratzki, Michael (Université du Manitoba), recipient country : CA, recipient province : nan, recipient city : Manitoba, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : This project will help Sightline Innovation develop new techniques to employ machine learning for biology._x000D_
Sightline Innovation provides artificial intelligent products and solutions for businesses around the world._x000D_
Sightline Innovation is working to adapt its artificial intelligence tools for biological data. This data may be_x000D_
DNA, RNA or protein data, and is typically part of large, complex datasets. Machine learning will help_x000D_
determine patterns in this biological data that allow researchers to characterize observable, physical traits in_x000D_
individuals from the biological data. These traits may include susceptibility to disease or prognosis for_x000D_
recovery._x000D_
In this project, Dr. Domaratzki (U.Manitoba) and Dr. Mark Alexiuk (CTO, Sightline Innovation) will work_x000D_
together with a research associate to develop new, high-performance tools for bioinformatics datasets. These_x000D_
tools will provide critical understanding of causality and correlationship between experimental data and clinical_x000D_
or observed states in patient data. The research project will also help in developing new and more accurate_x000D_
algorithms and computational tools to predict future trends. With improved computational tools, Sightline_x000D_
Innovation will be able to improve predictions for a variety of application areas. This represents a contribution_x000D_
to the fundamental machine learning tools developed and employed by Sightline Innovation., program purpose french : This project will help Sightline Innovation develop new techniques to employ machine learning for biology._x000D_
Sightline Innovation provides artificial intelligent products and solutions for businesses around the world._x000D_
Sightline Innovation is working to adapt its artificial intelligence tools for biological data. This data may be_x000D_
DNA, RNA or protein data, and is typically part of large, complex datasets. Machine learning will help_x000D_
determine patterns in this biological data that allow researchers to characterize observable, physical traits in_x000D_
individuals from the biological data. These traits may include susceptibility to disease or prognosis for_x000D_
recovery._x000D_
In this project, Dr. Domaratzki (U.Manitoba) and Dr. Mark Alexiuk (CTO, Sightline Innovation) will work_x000D_
together with a research associate to develop new, high-performance tools for bioinformatics datasets. These_x000D_
tools will provide critical understanding of causality and correlationship between experimental data and clinical_x000D_
or observed states in patient data. The research project will also help in developing new and more accurate_x000D_
algorithms and computational tools to predict future trends. With improved computational tools, Sightline_x000D_
Innovation will be able to improve predictions for a variety of application areas. This represents a contribution_x000D_
to the fundamental machine learning tools developed and employed by Sightline Innovation., agreement title english : Use of probabilistic graphical models for bioinformatics, agreement title french : Use of probabilistic graphical models for bioinformatics, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-12-13, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada