Soledad Galli | Data Scientist on Instagram: "Ever wondered how algorithms like UMAP turn complex, high-dimensional data into something we can see in 2D or 3D? 🌌 It works by preserving the key relationships and patterns between data points, capturing the shape (or manifold) your data creates in higher dimensions. In our Clustering & Dimensionality Reduction course, you’ll learn how this magic happens step-by-step from theory to Python implementation. 🧠💻 🎓 Learn more - link in bio/comments. #

UMAP - FlowJo Documentation

PCA, t-SNE, and UMAP are key techniques in bioinformatics and machine learning that simplify complex biological data and reveal hidden patterns. These techniques are essential for AI and ML models, helping researchers extract insights, improve classification, and enhance predictive modeling in bioinformatics. To help researchers harness the power of AI & ML in bioinformatics, our program offers a perfect blend of theory and hands-on practice with real omics datasets! 🔥 𝐖𝐡𝐚𝐭 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞