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Published in 2024 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbae610
Abstract: Abstract The Gaussian graphical model (GGM) is a statistical network approach that represents conditional dependencies among components, enabling a comprehensive exploration of disease mechanisms using high-throughput multi-omics data. Analyzing differential and similar structures in biological…
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Keywords:
similarity analysis;
gaussian graphical;
differential similarity;
omics networks ... See more keywords
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Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty488
Abstract: Summary Rapid advances in high‐throughput sequencing technologies have enabled more efficient acquisition of massive amount of multi‐omics data. However, interpretation of the underlying relationships across multi‐omics networks has not been fully succeeded, partly due to…
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Keywords:
grimon graphical;
multi;
multi omics;
graphical interface ... See more keywords