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Sparse Factor analysis models in python. The original publications describing these models are: L. Parts*, O. Stegle*, J. Winn, R. Durbin Joint genetic analysis of gene expression data with inferred cellular phenotypes PLoS Genetics 2011 M. Rattray, O. Stegle, K. Sharp, J. Winn Inference algorithms and learning theory for Bayesian sparse factor analysis Journal of Physics: Conference Series 2009 An alternative, more userfriendly version is also available in PEER, however with restricted support for inference methods: https://github.com/PMBio/peer/wiki For an example how to use these models, see demo/ create_toy_data.py run_inference.py