Differential Expression Analysis: diving into transcriptome using R & Python
Workshop, 2nd Panhellenic Conference of Students Bioscientists, 2024
From counts to volcano plots & machine learning!
Differential expression analysis is widely used by bioinformaticians to identify alterations in gene expression, under different conditions. Students had the chance to hands-on analyze microarray data and examine possible outcomes when applying different parameters. Volcano plots, cluster heatmaps & machine learning helped students find the most affected genes and pathways and propose the ideal drug treatment.
This workshop was presented at the 2nd Panhellenic Conference of Students Bioscientists
You can find the presentation here