Representing biological networks as graphs is a powerful approach to reveal underlying patterns, signatures, and critical components from high-throughput biomolecular data. However, graphs do not natively capture the multi-way relationships present among genes and proteins in biological systems. Hypergraphs are generalizations of graphs that naturally model multi-way relationships and have shown promise in modeling systems such as protein complexes and metabolic reactions. In this paper we seek to understand how hypergraphs can more faithfully identify, and potentially predict, important genes based on complex relationships inferred from genomic expression data sets. 10.1186/s12859-021-04197-2
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- NIAID Systems Biology for Infectious Diseases Contract Data (HHSN272200800060C)
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Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Reusable Digital Data Lifecycle Downloads for Modeling Host Responses to Understand Severe Human Virus Infections The National Institute of Allergy and Infectious Diseases (NIAID) "Modeling Host Responses to Understand Severe Human Virus...
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Reusable Digital Data Lifecycle Downloads for Omics-Lethal Human Virus Systems Biology The Omics-LHV Systems Virology project was one of four projects, funded by the NIAID Systems Biology for Infectious Diseases Research Program (funded from 2008-2013), was established in developing and validating...
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Omics-LHV Systems Biology Modeling Host Response to Severe Acute Respiratory Syndrome (SARS) Infection The Systems Virology project was one of four systems biology contracts funded by the NIAID Systems Biology for Infectious Diseases Research Program from 2008-2013. The Systems Biology for...
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Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Omics-LHV Profiling of Host Response to MERS-CoV Virus Infection Background Middle East Respiratory Syndrome coronavirus (MERS-CoV) is classified as a Category C priority pathogen (Coronaviridae) by the National Institute of Allergy and...
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Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Omics-LHV Profiling of Host Response to Ebola Virus Infection Background Ebola virus (EBOV) is a high risk biological agent, classified as a Category A priority pathogen (Flaviviridae) by the National Institute of Allergy and Infectious...
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Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Omics-LHV Profiling of Host Response to Influenza A Virus Infection Background Influenza A virus (IAV) is a high risk biological agent, classified as a Category C priority pathogen (Orthomyxoviridae) by the National Institute of Allergy and...
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Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Omics-LHV Profiling of Host Response to West Nile Virus Infection Background West Nile virus (WNV) is classified as a Category B priority pathogen (mosquito-borne Flaviviridae) by the National Institute of Allergy and Infectious Diseases...
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Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Omics-LHV Profiling of Host Interferon-Stimulated Response to Virus Infection Background The human host Interferon (IFN) alpha, beta, and gamma participate in the body's natural immune response to lethal virus infection and disease. The NIAID...
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5