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Similarity Network Fusion (SNF) for Subtyping Participants

Difficulty level

Similarity Network Fusion (SNF) is a computational method for data integration across various kinds of measurements, aimed at taking advantage of the common as well as complementary information in different data types. This workshop walks participants through running SNF on EEG and genomic data using RStudio.

Topics covered in this lesson
  • Similarity Network Fusion (SNF) 
  • Regression
  • High dimensionality and clustering

Knowledge of R programming language