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Biological network inference is a crucial problem to solve in Bioinformatics as most of biological process are based on bio molecular interactions. Many researchers have worked on especially the inference of gene regulatory networks where a node and edge represent a gene and regulation relationship respectively assuming that a gene can regulate another gene indirectly. However, a gene expression level...
The importance of an integrative genomic study is steadily increasing in an emerging era of various high-throughput genomic data. Mechanisms of human diseases consist of complex interactions of multiple biological processes such as genetic, epigenetic, and transcriptional regulation. The collection of the multiple genomic data that represents the multiple processes is called 'multi-block data'. The...
The identification of expression quantitative trait loci (eQTL) epistasis, which is a non-linear interaction effect between two or more genetic loci that control quantitative traits, play an essential role in understanding the mechanisms of gene interactions in the complex diseases. However, many studies have ignored the possibility of the epistasis in spite of the countless empirical evidence of...
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