Asymmetric author-topic model for knowledge discovering of big data in toxicogenomics

The advancement of high-throughput screening technologies facilitates the generation of massive amount of biological data, a big data phenomena in biomedical science. Yet, researchers still heavily rely on keyword search and/or literature review to navigate the databases and analyses are often done...

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Detalles Bibliográficos
Autores principales: Chung, Ming-Hua, Wang, Yuping, Tang, Hailin, Zou, Wen, Basinger, John, Xu, Xiaowei, Tong, Weida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403303/
https://www.ncbi.nlm.nih.gov/pubmed/25941488
http://dx.doi.org/10.3389/fphar.2015.00081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403303/
https://www.ncbi.nlm.nih.gov/pubmed/25941488
http://dx.doi.org/10.3389/fphar.2015.00081

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