PGD: a machine learning-based photosynthetic-related gene detection approach.

Wang, Yunchuan; Dai, Xiuru; Fu, Daohong; Li, Pinghua; Du, Baijuan

Wang, Yunchuan; Dai, Xiuru; Fu, Daohong; Li, Pinghua; Du, Baijuan.

Afiliación

Wang Y; State Key Laboratory of Crop Biology, College of Agronomic Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Dai X; State Key Laboratory of Crop Biology, College of Agronomic Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Fu D; State Key Laboratory of Crop Biology, College of Agronomic Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Li P; State Key Laboratory of Crop Biology, College of Agronomic Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
Du B; State Key Laboratory of Crop Biology, College of Agronomic Sciences, Shandong Agricultural University, Tai'an, 271018, Shandong, China. baijuandu@sdau.edu.cn.

BMC Bioinformatics ; 23(1): 183, 2022 May 17.

Article en En | MEDLINE | ID: mdl-35581553

Asunto(s)

Diagnóstico Preimplantación; Femenino; Humanos; Aprendizaje Automático; Fotosíntesis/genética; Hojas de la Planta/metabolismo; Embarazo; Zea mays/genética

Palabras clave

Ensemble learning; Functional category; Machine learning; Photosynthesis; RNA-Seq

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diagnóstico Preimplantación Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China

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