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Accurate eQTL prioritization with an ensemble-based framework

We present a novel ensemble-based computational framework, EnsembleExpr, that achieved the best performance in the Fourth Critical Assessment of Genome Interpretation (CAGI4) “eQTL-causal SNPs” challenge for identifying eQTLs and prioritizing their gene expression effects. Expression quantitative tr...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Hum Mutat
Päätekijät: Zeng, Haoyang, Edwards, Matthew D., Guo, Yuchun, Gifford, David K.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2017
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5561514/
https://ncbi.nlm.nih.gov/pubmed/28224684
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/humu.23198
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