|
Abstract:
|
In multi-platform genomic data analysis, multiple large sequences are observed from normal and abnormal subjects, and the sample sizes are relatively small. How to analyze such data jointly is challenging. Existing methods include the Lasso or graphical Lasso by selecting only small proportions of the data for the analysis, result in information loss and possible biases. Here we propose a new measure, the integrative correlation, to characterize the innate relationships within the sequences. The method takes the full data into the analysis and is very simple to use. Simulation studies will be conducted to evaluate the performance of the method, and a real multi-platform genomic data will be analyzed to illustrate the application.
|
