The BALDER project (2021-2023) aimed to develop a novel statistical software package that can help researchers identify new biomarkers and drug targets using already existing genomic data from Type 2 Diabetes Mellitus patients.
The team developed a mathematical approach called Multi-Trait Bayesian Linear Regression and implemented it into a software package. This package allows users to input genes of interest and apply various filters tailored to their needs. It assists users in interpreting existing data, revealing new connections, and identifying potential biomarkers and drug targets.
In the BALDER project, the team has taken advantage of the vast amount of genetic data from Type 2 Diabetes Mellitus patients that is already out there. These data has been used as a case study to demonstrate the usefulness of the software package. However, researchers can use the software for basically any disease of interest.
On this page you can can watch a video recorded at the beginning of the project. You can also read an article on the output of the project and you can find lists of project participants and articles published by the BALDER team.
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