DiCE: differential centrality-ensemble analysis based on gene expression profiles and protein-protein interaction network

Abstract excerpt

Uncovering key genes that drive diseases and cancers is crucial for advancing understanding and developing targeted therapies. Traditional differential expression analysis often relies on arbitrary cutoffs, missing critical genes with subtle expression changes. Some methods incorporate protein-protein interactions (PPIs) but depend on prior disease knowledge. To address these challenges, we developed DiCE (Differe...

Topics

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• Bioinformatics and Genomic Networks
• Computational Biology
• Computational Drug Discovery Methods
• Ferroptosis and cancer prognosis
• Gene Expression Profiling
• Gene Regulatory Networks
• Neoplasms
• Phenotype

Identifiers and source

Literature Corpus work

4f56c0b6-f08b-5034-a209-5a36b57fb7ee

DOI

10.1101/2025.03.14.638654