• Integration of Imaging Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization

    13 days ago - By IEEE/ACM

    Schizophrenia is a complex disease. Single nucleotide polymorphism , brain activity measured by functional magnetic resonance imaging and DNA methylation are all important biomarkers that can be used for the study of SZ. To our knowledge, there has been little effort to combine these three datasets together. In this study, we propose a group sparse joint nonnegative matrix factorization model to integrate SNP, fMRI, and DNA methylation for the identification of multi-dimensional modules associated with SZ, which can be used to study regulatory mechanisms underlying SZ at multiple levels...
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