bioFAM/MOFA2

Multi-Omics Factor Analysis

What it solves

It provides a general framework for the unsupervised integration of multi-omic data sets, allowing researchers to analyze multiple types of biological data simultaneously.

How it works

It uses a factor analysis model to identify shared patterns of variation across different omics data sets, uncovering latent factors that explain the variance in the biological samples.

Who it’s for

Researchers in bioinformatics and systems biology who need to integrate and analyze complex multi-omics data.

Highlights

  • Unsupervised integration of multi-omic data
  • General framework for factor analysis
  • Dedicated website for tutorials and installation

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