• Corpus ID: 236635017

Finding Stable Groups of Cross-Correlated Features in Two Data Sets With Common Samples

@inproceedings{Nobel2021FindingSG,
  title={Finding Stable Groups of Cross-Correlated Features in Two Data Sets With Common Samples},
  author={Andrew B. Nobel},
  year={2021}
}
Data sets in which measurements of different types are obtained from a common set of samples appear in many scientific applications. In the analysis of such data, an important problem is to identify groups of features from different data types that are strongly associated. Given two data types, a bimodule is a pair (A,B) of feature sets from the two types such that the aggregate cross-correlation between the features in A and those in B is large. A bimodule (A,B) is stable if A coincides with… 

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