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Benchmarking precision matrix estimation methods for differential co-expression network analysis

2026-04-15

Abstract excerpt

<h4>Background</h4> Gene expression profiling is widely used to investigate disease mechanisms, but classical approaches such as differential expression or pairwise correlation analyses provide limited interpretability. Network-based differential co-expression methods that model conditional dependencies through partial correlations offer richer insights, yet their application in high-dimensional settings requires...

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Literature Corpus work
54c7c38c-44ea-5bd8-b25a-b881d7b4eee7
DOI
10.64898/2026.04.13.716081
Open publication

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Benchmarking precision matrix estimation methods for differential co-expression network analysisDOI 10.64898/2026.04.13.716081
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