Program Overview

Data Mining and Machine Learning for Bioinformatics

Description

The course provides students with a comprehensive discussion of data-intensive computations and hands-on experience on applications of data mining and machine learning in the area of bioinformatics. This includes scaffolding the concept of decision support systems and exploring advanced methodologies. The course also covers information retrieval, feature selection, feature extraction, visualization, unsupervised learning, and supervised learning techniques for analyzing and extracting patterns from bioinformatics datasets. This enables the surfacing of potential models and associations with pathologies and their effects related to the examined datasets.

Course Details

• Course period: 16/01/23
• Field of study: Biomedical Engineering & Biotechnology
  • Specific area: Bioinformatics
  • Topics covered:
    • Data-intensive computations
    • Data mining
    • Machine learning
    • Decision support systems
    • Information retrieval
    • Feature selection
    • Feature extraction
    • Visualization
    • Unsupervised learning
    • Supervised learning
    • Analysis of bioinformatics datasets
    • Pattern extraction
    • Modeling and association with pathologies and their effects