Abstract
In integrative radiation systems biology, relationships between variables generated from different molecular levels are investigated. Two approaches to detect correlations in subsets of bivariate continuous data are discussed. The approaches are based on two-component finite Gaussian mixture models and on parametric bootstrap of the null-hypothesis to generate a reference distribution of the likelihood ratio statistic.
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Braselmann, H. (2017). Heterogeneous Correlation of Multi-level Omics Data for the Consideration of Inter-tumoural Heterogeneity. In: Ainsbury, E., Calle, M., Cardis, E., Einbeck, J., Gómez, G., Puig, P. (eds) Extended Abstracts Fall 2015. Trends in Mathematics(), vol 7. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-55639-0_12
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DOI: https://doi.org/10.1007/978-3-319-55639-0_12
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