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Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms
Genome-wide association studies (GWASs) are valuable for understanding human biology, but associated loci typically contain multiple associated variants and genes. Thus, algorithms that prioritize likely causal genes and variants for a given phenotype can provide biological interpretations of associ...
में बचाया:
| में प्रकाशित: | Am J Hum Genet |
|---|---|
| मुख्य लेखकों: | , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Elsevier
2019
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6556976/ https://ncbi.nlm.nih.gov/pubmed/31056107 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2019.03.027 |
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