Analysis and Prediction of Exon Skipping Events from RNA-Seq with Sequence Information Using Rotation Forest.

Du, Xiuquan; Hu, Changlin; Yao, Yu; Sun, Shiwei; Zhang, Yanping

Du, Xiuquan; Hu, Changlin; Yao, Yu; Sun, Shiwei; Zhang, Yanping.

Afiliação

Du X; Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei 230601, China. dxqllp@ahu.edu.cn.
Hu C; Center of Information Support & Assurance Technology, Anhui University, Hefei 230601, China. dxqllp@ahu.edu.cn.
Yao Y; School of Computer Science and Technology, Anhui University, Hefei 230601, China. dxqllp@ahu.edu.cn.
Sun S; School of Computer Science and Technology, Anhui University, Hefei 230601, China. huchanglin123@163.com.
Zhang Y; School of Computer Science and Technology, Anhui University, Hefei 230601, China. yaoyu_2017@163.com.

Int J Mol Sci ; 18(12)2017 Dec 12.

Article em En | MEDLINE | ID: mdl-29231888

Assuntos

Algoritmos; Éxons/genética; Splicing de RNA; Análise de Sequência de RNA/métodos; Biologia Computacional/métodos; Humanos; Reprodutibilidade dos Testes

Palavras-chave

RNA-Seq data; exon skipping event; sequence information

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Splicing de RNA / Éxons / Análise de Sequência de RNA Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

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