k-Skip-n-Gram-RF: A Random Forest Based Method for Alzheimer's Disease Protein Identification-Reference-Cited by-同舟云学术

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

Published:2019-02-12 Issue: Volume:10 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Xu Lei,Liang Guangmin,Liao Changrui,Chen Gin-Den,Chang Chi-Chang

Funder

Shenzhen Science and Technology Innovation Commission

Shenzhen Polytechnic

Publisher

Frontiers Media SA

Subject

Genetics(clinical),Genetics,Molecular Medicine

Reference67 articles.

1. O1-02-01: Forecasting the global prevalence and burden of Alzheimer's disease;Brookmeyer;Alzheimers Dement.,2007

2. iMiRNA-SSF: improving the identification of microRNA precursors by combining negative sets with different distributions;Chen;Sci. Rep.,2016

3. DincRNA: a comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function;Cheng;Bioinformatics

4. InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk;Cheng;BMC Genomics

5. LncRNA2Target v2.0: a comprehensive database for target genes of lncRNAs in human and mouse;Cheng;Nucleic Acids Res,2018

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