Cargando…
CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods
Carcinogenicity refers to a highly toxic end point of certain chemicals, and has become an important issue in the drug development process. In this study, three novel ensemble classification models, namely Ensemble SVM, Ensemble RF, and Ensemble XGBoost, were developed to predict carcinogenicity of...
Autores principales: | Zhang, Li, Ai, Haixin, Chen, Wen, Yin, Zimo, Hu, Huan, Zhu, Junfeng, Zhao, Jian, Zhao, Qi, Liu, Hongsheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437031/ https://www.ncbi.nlm.nih.gov/pubmed/28522849 http://dx.doi.org/10.1038/s41598-017-02365-0 |
Ejemplares similares
-
PredPhos: an ensemble framework for structure-based prediction of phosphorylation sites
por: Gao, Yong, et al.
Publicado: (2016) -
Alveolar and Diffuse Carcinoma of the Prostate Gland Simulating Carcino-Sarcoma
por: Cappell, D. F.
Publicado: (1935) -
The Theory of Carcino-Evo-Devo and Its Non-Trivial Predictions
por: Kozlov, A. P.
Publicado: (2022) -
Carcino-sarcoma in a case of syringocystadenoma papilliferum: a rare entity
por: Bakhshi, Girish D., et al.
Publicado: (2012) -
Carcino-Evo-Devo, A Theory of the Evolutionary Role of Hereditary Tumors
por: Kozlov, Andrei P.
Publicado: (2023)