k-Skip-n-Gram-RF: A Random Forest Based Method for Alzheimer's Disease Protein Identification

In this paper, a computational method based on machine learning technique for identifying Alzheimer's disease genes is proposed. Compared with most existing machine learning based methods, existing methods predict Alzheimer's disease genes by using structural magnetic resonance imaging (MR...

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Detalles Bibliográficos
Autores principales: Xu, Lei, Liang, Guangmin, Liao, Changrui, Chen, Gin-Den, Chang, Chi-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379451/
https://www.ncbi.nlm.nih.gov/pubmed/30809242
http://dx.doi.org/10.3389/fgene.2019.00033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379451/
https://www.ncbi.nlm.nih.gov/pubmed/30809242
http://dx.doi.org/10.3389/fgene.2019.00033

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