collaborators

5 papers

q-bio.GN2019

Fusing heterogeneous data sets

Yipeng Song

In systems biology, it is common to measure biochemical entities at different levels of the same biological system. One of the central problems for the data fusion of such data set…

stat.ME2019

Heterofusion: Fusing genomics data of different measurement scales

Age K. Smilde, Yipeng Song, Johan A. Westerhuis +3

In systems biology, it is becoming increasingly common to measure biochemical entities at different levels of the same biological system. Hence, data fusion problems are abundant i…

stat.ME2019

Logistic principal component analysis via non-convex singular value thresholding

Yipeng Song, Johan A. Westerhuis, Age K. Smilde

Multivariate binary data is becoming abundant in current biological research. Logistic principal component analysis (PCA) is one of the commonly used tools to explore the relations…

stat.ME2019

Separating common (global and local) and distinct variation in multiple mixed types data sets

Yipeng Song, Johan A. Westerhuis, Age K. Smilde

Multiple sets of measurements on the same objects obtained from different platforms may reflect partially complementary information of the studied system. The integrative analysis…

stat.ME2018

Generalized simultaneous component analysis of binary and quantitative data

Yipeng Song, Johan A. Westerhuis, Nanne Aben +3

In the current era of systems biological research there is a need for the integrative analysis of binary and quantitative genomics data sets measured on the same objects. One stand…