DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences.

Yao, Zhou; Zhang, Wenjing; Song, Peng; Hu, Yuxue; Liu, Jianxiao

Yao, Zhou; Zhang, Wenjing; Song, Peng; Hu, Yuxue; Liu, Jianxiao.

Afiliación

Yao Z; Key Laboratory of Smart Farming for Agricultural Animals, Huazhong Agricultural University, Wuhan 430070, China.
Zhang W; Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan 430070, China.
Song P; College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Hu Y; College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Liu J; College of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430070, China.

Brief Bioinform ; 24(2)2023 03 19.

Article en En | MEDLINE | ID: mdl-36917472

Asunto(s)

Genómica; Redes Neurales de la Computación; Secuencia de Bases; Genómica/métodos; Cromatina/genética; Genoma

Palabras clave

DNA function prediction; convolutional neural network; flow-attention mechanism; linear attention mechanism; motif

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Genómica Tipo de estudio: Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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