TY - JOUR
T1 - Heterofusion
T2 - Fusing genomics data of different measurement scales
AU - Smilde, Age K.
AU - Song, Yipeng
AU - Westerhuis, Johan
AU - Kiers, Henk A. L.
AU - Aben, Nanne
AU - Wessels, Lodewyk F. A.
PY - 2020/2/3
Y1 - 2020/2/3
N2 - 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 in the life sciences. With the availability of a multitude of measuring techniques, one of the central problems is the heterogeneity of the data. In this paper, we discuss a specific form of heterogeneity, namely, that of measurements obtained at different measurement scales, such as binary, ordinal, interval, and ratio‐scaled variables. Three generic fusion approaches are presented of which two are new to the systems biology community. The methods are presented, put in context, and illustrated with a real‐life genomics example.
AB - 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 in the life sciences. With the availability of a multitude of measuring techniques, one of the central problems is the heterogeneity of the data. In this paper, we discuss a specific form of heterogeneity, namely, that of measurements obtained at different measurement scales, such as binary, ordinal, interval, and ratio‐scaled variables. Three generic fusion approaches are presented of which two are new to the systems biology community. The methods are presented, put in context, and illustrated with a real‐life genomics example.
U2 - 10.1002/cem.3200
DO - 10.1002/cem.3200
M3 - Article
SN - 0886-9383
VL - 35
JO - Journal of Chemometrics
JF - Journal of Chemometrics
IS - 2
M1 - e3200
ER -