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Candidate gene prioritization based on spatially mapped gene expression: an application to XLMR

Motivation: The identification of genes involved in specific phenotypes, such as human hereditary diseases, often requires the time-consuming and expensive examination of a large number of positional candidates selected by genome-wide techniques such as linkage analysis and association studies. Even...

詳細記述

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書誌詳細
主要な著者: Piro, Rosario M., Molineris, Ivan, Ala, Ugo, Provero, Paolo, Di Cunto, Ferdinando
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2935433/
https://ncbi.nlm.nih.gov/pubmed/20823330
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq396
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