On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L<sub>1/2</sub>-regularization method.

Qiu, Yushan; Jiang, Hao; Ching, Wai-Ki; Ng, Michael K

On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L_1/2-regularization method.

Qiu, Yushan; Jiang, Hao; Ching, Wai-Ki; Ng, Michael K.

Afiliación

Qiu Y; College of Mathematics and Statistics, Shenzhen University, Shenzhen 518060, PR China. Electronic address: yushan.qiu@szu.edu.cn.
Jiang H; School of Mathematics, Renmin University of China, No. 59 Zhong Guan Cun Street, HaiDian District, Beijing, PR China. Electronic address: jiangh@ruc.edu.cn.
Ching WK; Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong. Electronic address: wching@hku.hk.
Ng MK; Department of Mathematics, Hong Kong Baptist University, Hong Kong. Electronic address: mng@math.hkbu.edu.hk.

Artif Intell Med ; 95: 96-103, 2019 04.

Article en En | MEDLINE | ID: mdl-30352711

Asunto(s)

Transición Epitelial-Mesenquimal; Proteínas de Unión al ARN/fisiología; Algoritmos; Línea Celular Tumoral; Humanos; Modelos Biológicos

Palabras clave

Classification; Epithelial-mesenchymal transition (EMT); L(1/2)-regularization; RNA-binding proteins (RBPs)

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas de Unión al ARN / Transición Epitelial-Mesenquimal Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article

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