A Guided Network Propagation Approach to Identify Disease Genes that Combines Prior and New Information
Author(s): Hristov, Borislav H; Chazelle, Bernard; Singh, Mona
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hristov, Borislav H | - |
| dc.contributor.author | Chazelle, Bernard | - |
| dc.contributor.author | Singh, Mona | - |
| dc.date.accessioned | 2021-10-08T19:46:02Z | - |
| dc.date.available | 2021-10-08T19:46:02Z | - |
| dc.date.issued | 2020 | en_US |
| dc.identifier.citation | Hristov, Borislav H., Bernard Chazelle, and Mona Singh. "A Guided Network Propagation Approach to Identify Disease Genes that Combines Prior and New Information." International Conference on Research in Computational Molecular Biology, pp. 251-252. doi:10.1007/978-3-030-45257-5_25 | en_US |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | https://arxiv.org/pdf/2001.06135.pdf | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/pr1z83n | - |
| dc.description.abstract | Summary. A major challenge in biomedical data science is to identify the causal genes underlying complex genetic diseases. Despite the massive influx of genome sequencing data, identifying disease-relevant genes remains difficult as individuals with the same disease may share very few, if any, genetic variants. | en_US |
| dc.format.extent | 251 - 252 | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartof | International Conference on Research in Computational Molecular Biology | en_US |
| dc.rights | Author's manuscript | en_US |
| dc.title | A Guided Network Propagation Approach to Identify Disease Genes that Combines Prior and New Information | en_US |
| dc.type | Conference Article | en_US |
| dc.identifier.doi | 10.1007/978-3-030-45257-5_25 | - |
| dc.identifier.eissn | 1611-3349 | - |
| pu.type.symplectic | http://www.symplectic.co.uk/publications/atom-terms/1.0/conference-proceeding | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| GuidedNetworkPropagationDiseaseGenes.pdf | 1.52 MB | Adobe PDF | View/Download |
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