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With the rapid technological advances in acquiring data from diverse platforms in cancer research, numerous large scale omics and imaging data sets have become available, providing high-resolution views and multifaceted descriptions of biological systems. Simultaneous analysis of such multimodal data sets is an important task in integrative systems biology. The main challenge here is how to integrate...
In imaging genomics, there have been rapid advances in genome-wide, image-wide searches for genes that influence brain structure. Most efforts focus on univariate tests that treat each genetic variation independently, ignoring the joint effects of multiple variants. Instead, we present a gene-based method to detect the joint effect of multiple single nucleotide polymorphisms (SNPs) in 18,044 genes...
Neuroimaging genomics is a new transdisciplinary research field, which aims to examine genetic effects on brain via integrated analyses of high throughput neuroimaging and genomic data. We report our recent work on developing an imaging genomic browsing system that allows for whole genome and entire brain analyses based on visual exploration and (2) applying the system to the imaging genomic analysis...
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