Network control principles for identifying personalized driver genes in cancer.

Guo, Wei-Feng; Zhang, Shao-Wu; Zeng, Tao; Akutsu, Tatsuya; Chen, Luonan

Guo, Wei-Feng; Zhang, Shao-Wu; Zeng, Tao; Akutsu, Tatsuya; Chen, Luonan.

Afiliación

Guo WF; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
Zhang SW; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
Zeng T; Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, 200031, China.
Akutsu T; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, 611-0011, Japan.
Chen L; Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.

Brief Bioinform ; 21(5): 1641-1662, 2020 09 25.

Article en En | MEDLINE | ID: mdl-31711128

Asunto(s)

Neoplasias/genética; Algoritmos; Biología Computacional/métodos; Heterogeneidad Genética; Humanos; Mutación

Palabras clave

network control principles; personalized driver genes; single-sample network; tumor heterogeneity

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China

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