Class 3C | Microarray Data Analysis in R | Differential Gene Expression | Volcano Plot | Heatmap | AI and Biotechnology/Bioinformatics

🔆 Introduction to Volcano Plot🔆 A volcano plot is a powerful type of scatter plot widely used in genomics, proteomics, and metabolomics to visualize the results of differential expression analysis — for example, comparing gene expression between two treatments or conditions. It combines statistical significance and magnitude of change in one easy-to-read graph. The x-axis represents the log₂ fold change (effect size) — how much a gene or protein is up- or down-regulated. The y-axis represents

3D time-lapse plot of volcanic earthquakes beneath Kanlaon Volcano for the period May 2017 to present relocated using LOTOS Software (Koulakov I., 2009) and visualized using an in-house Python software (developed by PHIVOLCS' VMEPD-GMRD). Colors indicate clusters of earthquakes: red (2017 deep-long period events); blue (June 2020 volcano-tectonic swarm events); green (post 3 June 2024 VT events located E to NE of the edifice); and orange (majority of the events from the September 2024 VT swarm,

New Tutorial: Visualization of RNA-Seq results with Volcano Plot in R