Insights into compound mode-of-action by exploring gene expression space
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1st Year PhD Report
Recent innovation in transcriptomics have led to large amounts of specific compound-induced gene expression data being made available in the public domain. This data is noisy and often difficult to interpret. Integrating this space with other spaces, including chemical bioactivity, pathway and various compound annotations, provide insight into the mode-of-action of small molecules. Furthermore, this aids the drug development pipeline and may provide opportunities for drug repurposing. In this talk I shall outline the basis of compound-induced gene expression profiles and various methods to integrate this data towards obtaining clinically relevant inferences.
This talk is part of the Theoretical Chemistry Informal Seminars series.
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