Yipeng Song developed various data fusion approaches to tackle heterogeneity in multiple data sets.
In biological research, multiple high dimensional measurements from different platforms on the same biological system are becoming increasingly common. These different sources of measurements not only provide us with the opportunity to gain a deeper understanding of the studied system, but they also introduce some new statistical challenges. All these challenges are related to the heterogeneity of the data sets. In his thesis, Yipeng Song developed various data fusion approaches to tackle either one or two types of heterogeneity that exist in multiple data sets.
Y. Song: Fusing heterogeneous data sets.
Prof. A.K. Smilde
Dr J.A. Westerhuis
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