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

Frontiers in Genetics
Lei XuChi-Chang Chang

Abstract

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 (MRI) technique. Most methods have attained acceptable results, but the cost is expensive and time consuming. Thus, we proposed a computational method for identifying Alzheimer disease genes by use of the sequence information of proteins, and classify the feature vectors by random forest. In the proposed method, the gene protein information is extracted by adaptive k-skip-n-gram features. The proposed method can attain the accuracy to 85.5% on the selected UniProt dataset, which has been demonstrated by the experimental results.

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Citations

Dec 24, 2019·Briefings in Functional Genomics·Shanwen SunQuan Zou
Mar 17, 2020·Frontiers in Bioengineering and Biotechnology·Zhibin LvQuan Zou
Jul 7, 2020·Frontiers in Cell and Developmental Biology·Tianyi ZhaoYadong Wang
Jul 17, 2020·Frontiers in Bioengineering and Biotechnology·Xingyue GuDonghua Wang
Nov 26, 2019·BMC Bioinformatics·Tianyi ZhaoLiang Cheng
Apr 17, 2020·Frontiers in Bioengineering and Biotechnology·Chaolu MengFei Guo
Jun 23, 2020·BioMed Research International·Chao WangShuguang Han
Sep 10, 2020·Frontiers in Bioengineering and Biotechnology·Qingwen LiQingyuan Li
Dec 23, 2019·Molecular Therapy. Nucleic Acids·Lijun DouHuaikun Xiang
Nov 3, 2020·Computational and Mathematical Methods in Medicine·Qingwen LiLichao Zhang
Nov 3, 2020·Computational and Mathematical Methods in Medicine·Zhiyu TaoYuming Zhao
Nov 17, 2020·Frontiers in Bioengineering and Biotechnology·Zifan GuoYuming Zhao
Jan 26, 2021·Frontiers in Cell and Developmental Biology·Ting LiuHua Tang
Jul 9, 2021·Frontiers in Genetics·Lei XuRong Song
Jul 27, 2021·BioMed Research International·Lei ChenYu-Dong Cai
Oct 23, 2020·Journal of Proteome Research·Lijun DouLei Xu

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Methods Mentioned

BETA
Feature Extraction

Software Mentioned

HIT
CD
LibD3C
Adaboost

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