k-Skip-n-Gram-RF: A Random Forest Based Method for Alzheimer's Disease Protein Identification
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Title
k-Skip-n-Gram-RF: A Random Forest Based Method for Alzheimer's Disease Protein Identification
Authors
Keywords
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Journal
Frontiers in Genetics
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-02-12
DOI
10.3389/fgene.2019.00033
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- (2018) Xiangxiang Zeng et al. BIOINFORMATICS
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- (2018) Liang Cheng et al. BMC GENOMICS
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- SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins
- (2018) Lei Xu et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Alzheimer’s Disease rs11767557 Variant Regulates EPHA1 Gene Expression Specifically in Human Whole Blood
- (2018) Guiyou Liu et al. JOURNAL OF ALZHEIMERS DISEASE
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- Clinical Success of Drug Targets Prospectively Predicted by In Silico Study
- (2018) Feng Zhu et al. TRENDS IN PHARMACOLOGICAL SCIENCES
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- (2018) Jianbo Fu et al. Frontiers in Pharmacology
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- (2018) Lei Xu et al. Genes
- Developing a Multi-Dose Computational Model for Drug-induced Hepatotoxicity Prediction based on Toxicogenomics Data
- (2018) Ran Su et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting
- (2018) Hao Wang et al. Scientific Reports
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- (2018) Jun Zhang et al. Current Proteomics
- LncRNA2Target v2.0: a comprehensive database for target genes of lncRNAs in human and mouse
- (2018) Liang Cheng et al. NUCLEIC ACIDS RESEARCH
- Disease status affects the association between rs4813620 and the expression of Alzheimer’s disease susceptibility geneTRIB3
- (2018) Guiyou Liu et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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- (2018) Xiao xu Li et al. Frontiers in Pharmacology
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- (2017) Zuping Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
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- (2017) Xuan Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Integrating Multiple Heterogeneous Networks for Novel LncRNA-disease Association Inference
- (2017) Jingpu Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Identification of drug-target interactions via multiple information integration
- (2017) Yijie Ding et al. INFORMATION SCIENCES
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- PSFM-DBT: Identifying DNA-Binding Proteins by Combing Position Specific Frequency Matrix and Distance-Bigram Transformation
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- (2017) Xiangxiang Zeng et al. PLoS Computational Biology
- Spiking Neural P Systems with Colored Spikes
- (2017) Tao Song et al. IEEE Transactions on Cognitive and Developmental Systems
- A Classification Method for Microarrays Based on Diversity
- (2016) Xubo Wang et al. Current Bioinformatics
- Alzheimer’s Disease Variants with the Genome-Wide Significance are Significantly Enriched in Immune Pathways and Active in Immune Cells
- (2016) Qinghua Jiang et al. MOLECULAR NEUROBIOLOGY
- PICALM rs3851179 Variant Confers Susceptibility to Alzheimer’s Disease in Chinese Population
- (2016) Guiyou Liu et al. MOLECULAR NEUROBIOLOGY
- iMiRNA-SSF: Improving the Identification of MicroRNA Precursors by Combining Negative Sets with Different Distributions
- (2016) Junjie Chen et al. Scientific Reports
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- (2015) Quan Zou et al. Briefings in Functional Genomics
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- (2014) Fei Guo et al. Journal of Chemical Information and Modeling
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- (2013) Chen Lin et al. NEUROCOMPUTING
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- (2012) Limin Fu et al. BIOINFORMATICS
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- (2011) Fei Guo et al. Journal of Chemical Information and Modeling
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