With the development of high-throughput biological techniques, high-dimensional omics
data have emerged. These molecular data provide a solid foundation for precision medicine …

Microbiome omics data including 16S rRNA reveal intriguing dynamic associations between
the human microbiome and various disease states. Drastic changes in microbiota can be …

With the development of technology, more and more enterprises have begun to use data
integration analysis to make decisions. The decision spatial information system is an …

This study investigates the effectiveness of Bayesian variable selection (BVS) procedures in
dealing with missing not at random (MNAR) data for identification in selection models. Three …

The remarkable generalization performance of overparameterized models has challenged
the conventional wisdom of statistical learning theory. While recent theoretical studies have …

We consider data integration problems where correlated data are collected from multiple
platforms. Within each platform, there are linear relationships between the responses and a …

Background The endogenous circadian clock, which controls daily rhythms in the
expression of at least half of the mammalian genome, has a major influence on cell …

Data integration is the process of extracting information from multiple sources and analyzing
different related data sets simultaneously. The aggregated information can reduce the …