Читать книгу Multiblock Data Fusion in Statistics and Machine Learning - Tormod Næs - Страница 30

Taking it one step further in terms of omics measurements, we enter the area of systems biology. The general idea of systems biology is to describe biological systems as a network of interacting biochemical compounds. Often, the interactions in such networks show emerging behaviour which cannot be understood from studying single biochemical compounds (Bruggeman and Westerhoff, 2007).

There are basically two approaches to systems biology: top-down and bottom-up (Shahzad and Loor, 2012). In bottom-up approaches, fundamental models are made of parts of biochemical systems and, subsequently, parameters in those models are fitted to data. In top-down systems biology, many types of omics data are collected and these are combined into one holistic analysis. The latter goes under different names: intra- and inter-omics analysis, cross-omics analysis, statistical integration, statistical data fusion to name a few (Tayrac et al., 2009; Richards et al., 2010; Richards and Holmes, 2014). In all these top-down applications, multiblock data analysis is important. See also Elaboration 1.5 for more explanation.