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driveR: a novel method for prioritizing cancer driver genes using somatic genomics data

BACKGROUND: Cancer develops due to “driver” alterations. Numerous approaches exist for predicting cancer drivers from cohort-scale genomics data. However, methods for personalized analysis of driver genes are underdeveloped. In this study, we developed a novel personalized/batch analysis approach fo...

詳細記述

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書誌詳細
出版年:BMC Bioinformatics
主要な著者: Ülgen, Ege, Sezerman, O. Uğur
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2021
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8142487/
https://ncbi.nlm.nih.gov/pubmed/34030627
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04203-7
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