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

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...

Full description

Bibliographic Details
Main Authors: Lei Xu, Guangmin Liang, Changrui Liao, Gin-Den Chen, Chi-Chang Chang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Genetics
Subjects:
Alzheimer's disease
n-gram model
random forest
gene coding
sequence information
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00033/full

Similar Items

Similar Items