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Predicting protein functions from redundancies in large-scale protein interaction networks

Interpreting data from large-scale protein interaction experiments has been a challenging task because of the widespread presence of random false positives. Here, we present a network-based statistical algorithm that overcomes this difficulty and allows us to derive functions of unannotated proteins...

詳細記述

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書誌詳細
主要な著者: Samanta, Manoj Pratim, Liang, Shoudan
フォーマット: Artigo
言語:Inglês
出版事項: National Academy of Sciences 2003
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC240660/
https://ncbi.nlm.nih.gov/pubmed/14566057
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2132527100
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