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|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.|
|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|
|Pages:||251 - 252|
|Type of Material:||Conference Article|
|Journal/Proceeding Title:||International Conference on Research in Computational Molecular Biology|
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