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Activity Number:
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331
- Recent Developments in High-Throughput, Large-Scale Biomedical Data Analysis
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Type:
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Invited
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Date/Time:
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Thursday, August 12, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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International Chinese Statistical Association
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Abstract #316623
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Title:
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DiSNEP: A Disease-Specific Gene Network Enhancement to Improve Prioritizing Candidate Disease Genes
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Author(s):
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Shuang Wang*
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Companies:
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Columbia Uiversity
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Keywords:
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network-based strategies;
diffusion process;
gene prioritization
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Abstract:
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Biological network-based strategies are useful in prioritizing genes associated with diseases. Several comprehensive human gene networks such as STRING, GIANT and HumanNet were developed and used in network-assisted algorithms to identify disease-associated genes. None of them are disease-specific and may not accurately reflect gene interactions for a specific disease. Aiming to improve disease gene prioritization using networks, we propose a Disease-Specific Network Enhancement Prioritization (DiSNEP) framework. DiSNEP enhances a comprehensive gene network for a disease through a diffusion process on a gene-gene similarity matrix derived from a disease omics data. The enhanced disease-specific gene network thus better reflects true gene interactions for the disease and improves prioritizing disease-associated genes subsequently. In simulations, DiSNEP prioritizes more true signal genes than competing methods using a general gene network. Applications to prioritize cancer-associated gene expression and DNA methylation signal genes for five cancer types from The Cancer Genome Atlas project suggest that more prioritized candidate genes by DiSNEP are cancer-related.
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Authors who are presenting talks have a * after their name.
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