DieStok/Basic-Machine-Learning-for-Bioinformatics
ML course materials for bioinformatics students following the Basic Machine Learning for Bioinformatics course at Utrecht University. Course created and taught by Dieter Stoker.
This provides learning materials for bioinformatics students to understand how machine learning techniques can be applied to biological data. It covers core algorithms like regression, clustering, and neural networks, showing how to process raw biological information into actionable insights or predictions. The primary users are bioinformatics students and researchers looking to integrate ML into their analytical toolkit.
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Use this if you are a bioinformatics student or researcher seeking to learn the fundamentals of machine learning and apply them to biological datasets.
Not ideal if you are looking for an advanced, ready-to-use software solution for a specific bioinformatics problem rather than educational materials.
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Feb 27, 2023
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