Toxicity prediction from toxicogenomic data based on class association rule mining

While the recent advent of new technologies in biology such as DNA microarray and next-generation sequencer has given researchers a large volume of data representing genome-wide biological responses, it is not necessarily easy to derive knowledge that is accurate and understandable at the same time....

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Detalles Bibliográficos
Autores principales: Nagata, Keisuke, Washio, Takashi, Kawahara, Yoshinobu, Unami, Akira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598536/
https://www.ncbi.nlm.nih.gov/pubmed/28962323
http://dx.doi.org/10.1016/j.toxrep.2014.10.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598536/
https://www.ncbi.nlm.nih.gov/pubmed/28962323
http://dx.doi.org/10.1016/j.toxrep.2014.10.014

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