2 posts tagged with "machine-learning"

Machine learning is transforming bioinformatics, enabling us to discover patterns in biological data. In this first part, we'll build a K-Nearest Neighbors (KNN) classifier from scratch using only Python, then apply it to simulated gene expression data. This post is designed for anyone who knows basic Python and biology—no advanced ML experience required!

Machine learning is transforming bioinformatics by automating pattern discovery from biological data. But what problems can it actually solve? This post shows real-world applications of classification models, then builds the simplest possible classifiers to understand how they work and how to evaluate them. This is Part 0—the practical foundation before diving into complex algorithms like KNN.