Network analysis approach using morphological profiling of chemical perturbation
2023-07-04
Intersecting Graph Representation Learning and Cell Profiling: A Novel Approach to Analyzing Complex Biomedical Data
Uppsala Universitet
Department of Pharmaceutical Biosciences
This is a master’s project documentation for pharmaceutical modeling program at Uppsala University.
Pharmaceutical Bioinformatics Research Group
Aim
An innovative and powerful method of analyzing complex biomedical data can be found in the intersection of graph representation learning and cell profiling. Our research aims to unlock new insights into how complex relations between chemical compounds, cellular phenotypes, and biological entities like proteins and biological pathways can be modelled for different purposes, ultimately facilitating the discovery and development of new drugs.
What can be found in this document?
This documentation provides an in-depth account of the procedures and methodologies used within the scope of this research project, including a thorough and detailed explanation of the implemented codes and their deployment. The result and discussion are also included at the end of the documentation.