An eScience-Bayes strategy for analyzing omics data |
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Authors: | Martin Eklund Ola Spjuth Jarl ES Wikberg |
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Affiliation: | (1) Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591, SE 751 24 Uppsala, Sweden |
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Abstract: | Background The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge datasets produced. Analysis of omics data is plagued by the curse of dimensionality, resulting in imprecise estimates of model parameters and performance. Moreover, the integration of omics data with other data sources is difficult to shoehorn into classical statistical models. This has resulted in ad hoc approaches to address specific problems. |
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