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RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest

Protein phosphorylation is one of the most widespread regulatory mechanisms in eukaryotes. Over the past decade, phosphorylation site prediction has emerged as an important problem in the field of bioinformatics. Here, we report a new method, termed Random Forest-based Phosphosite predictor 2.0 (RF-...

詳細記述

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書誌詳細
出版年:Biomed Res Int
主要な著者: Ismail, Hamid D., Jones, Ahoi, Kim, Jung H., Newman, Robert H., KC, Dukka B.
フォーマット: Artigo
言語:Inglês
出版事項: Hindawi Publishing Corporation 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4811047/
https://ncbi.nlm.nih.gov/pubmed/27066500
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/3281590
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