Novel mathematical and statistical methods for Machine Learning with applications in the Next Generation Sequencing technologies in Genetics
The goal of this project is to develop novel advanced mathematical and statistical methods applicable to the next generation sequencing (NGS) technologies and to improve some of the existing ones. The NGS technologies that have emerged since the mid-2000s, allow researchers to produce genetic data that is orders of magnitude larger than the previous methods.
Planned tasks are:
The main methodology of this project consists of mathematical and statistical methods, related to Genetics problems. The project team members are qualified in appropriated mathematical and statistical methods that will be used to achieve the project goals. In our study, we will derive novel methods for finding solutions of these problems and will also apply some existing ones.