Matrix Factorization-Based Data Fusion for Gene Function Prediction in Baker's Yeast and Slime Mold
Marinka Zitnik, Blaz Zupan
Faculty of Computer and Information Science, University of Ljubljana, Department of Molecular and Human Genetics, Baylor College of Medicine,
Email: marinka.zitnik@fri.uni-lj.si, blaz.zupan@fri.uni-lj.si
Pacific Symposium on Biocomputing 19:400-411(2014)
Abstract
In this manuscript, we show that this data fusion approach can be applied to gene function prediction and that it can fuse various heterogeneous data sources, such as gene expression profiles, known protien annotations, interaction and literature data.
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