DSEATM: drug set enrichment analysis uncovering disease mechanisms by biomedical text mining.

Luo, Zhi-Hui; Zhu, Li-Da; Wang, Ya-Min; Hu Qian, Sheng; Li, Menglu; Zhang, Wen; Chen, Zhen-Xia

Luo, Zhi-Hui; Zhu, Li-Da; Wang, Ya-Min; Hu Qian, Sheng; Li, Menglu; Zhang, Wen; Chen, Zhen-Xia.

Afiliación

Luo ZH; Hubei Hongshan Laboratory, College of Biomedicine and Health, Huazhong Agricultural University, Wuhan, 430070, Hubei, PR China.
Zhu LD; Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, PR China.
Wang YM; Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, Hubei, PR China.
Hu Qian S; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, 430070, Hubei, PR China.
Li M; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan, 430070, Hubei, PR China.
Zhang W; College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Hubei, PR China.
Chen ZX; Hubei Hongshan Laboratory, College of Biomedicine and Health, Huazhong Agricultural University, Wuhan, 430070, Hubei, PR China.

Brief Bioinform ; 23(4)2022 07 18.

Article en En | MEDLINE | ID: mdl-35679594

Asunto(s)

Investigación Biomédica; Minería de Datos; Minería de Datos/métodos; Fenotipo

Palabras clave

MESH; disease pathway; drug set enrichment analysis; text mining

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Investigación Biomédica / Minería de Datos Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article

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