Single Cell Datasets Ep 4 - Plotting Sparsity, variance, and correlation walkthrough on 10xGenomics

Before you build any ML model on proteomics data, you need to understand three things: how sparse your data is, which proteins actually vary across samples, and how your features relate to each other. In this video I break down protein sparsity, variance filtering, and correlation analysis and explain exactly why skipping these steps will hurt your model downstream. Repo Link: https://github.com/sabadaftari/RNA2Pr... Timestamps: 00:00 - Plot protein sparsity 7:37 - Analyze protein sparsity 8:44 - Remove extreme sparse proteins 10:35 - Plot protein variance 14:54 - Analyze protein variance 20:40 - Plot protein correlations 25:20 Analyze protein correlations #MachineLearning #Biotech #Proteomics #RNAseq #Bioinformatics #Singlecell #dataanalyticscourse #statistics