Bioinformatics

20 hours, basic Python required

 

An introduction to computational methods and machine learning techniques used in biological data analysis.

Date: 20–21.04.26 & 27–28.04.26
Time: 9:00–15:00
Location: Room K00.020, Biosys Building

Topics include:

  • Linear and logistic models
  • Data mining techniques (k-nearest neighbors, k-means clustering)
  • Support vector machines (SVMs)
  • Decision trees
  • Artificial neural networks (ANNs)
  • Dimensionality reduction methods (PCA, UMAP)
  • Multiple sequence alignment (MSA)