5 papers · 1 filter
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…
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…
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…
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…
Common and Distinct Components in Data Fusion
Age K. Smilde, Ingrid Mage, Tormod Naes +5
In many areas of science multiple sets of data are collected pertaining to the same system. Examples are food products which are characterized by different sets of variables, bio-p…