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For: Ao C, Zou Q, Yu L. RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid features. Methods 2021:S1046-2023(21)00142-0. [PMID: 34033879 DOI: 10.1016/j.ymeth.2021.05.016] [Cited by in Crossref: 10] [Cited by in F6Publishing: 16] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Su W, Xie XQ, Liu XW, Gao D, Ma CY, Zulfiqar H, Yang H, Lin H, Yu XL, Li YW. iRNA-ac4C: A novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA. Int J Biol Macromol 2023;227:1174-81. [PMID: 36470433 DOI: 10.1016/j.ijbiomac.2022.11.299] [Reference Citation Analysis]
2 Zhang Y, Wang Y, Gu Z, Pan X, Li J, Ding H, Zhang Y, Deng K. Bitter-RF: A random forest machine model for recognizing bitter peptides. Front Med 2023;10. [DOI: 10.3389/fmed.2023.1052923] [Reference Citation Analysis]
3 Wang Y, Zhang Y, Zhang Y, Gu Z, Zhang Z, Lin H, Deng K. Identification of adaptor proteins using the ANOVA feature selection technique. Methods 2022;208:42-47. [DOI: 10.1016/j.ymeth.2022.10.008] [Reference Citation Analysis]
4 Xiao J, Liu M, Huang Q, Sun Z, Ning L, Duan J, Zhu S, Huang J, Lin H, Yang H. Analysis and modeling of myopia-related factors based on questionnaire survey. Computers in Biology and Medicine 2022;150:106162. [DOI: 10.1016/j.compbiomed.2022.106162] [Reference Citation Analysis]
5 Meng J, Zuo Z, Lee TY, Liu Z, Huang Y. Bioinformatics resources for understanding RNA modifications. Methods 2022;206:53-5. [PMID: 35988901 DOI: 10.1016/j.ymeth.2022.08.009] [Reference Citation Analysis]
6 Hu R, Wu J, Zhang L, Zhou X, Zhang Y. CD8TCEI-EukPath: A Novel Predictor to Rapidly Identify CD8+ T-Cell Epitopes of Eukaryotic Pathogens Using a Hybrid Feature Selection Approach. Front Genet 2022;13:935989. [DOI: 10.3389/fgene.2022.935989] [Reference Citation Analysis]
7 Chung Kim Chung K, Mahdavi-Amiri Y, Korfmann C, Hili R. PhOxi-Seq: Single-Nucleotide Resolution Sequencing of N2-Methylation at Guanosine in RNA by Photoredox Catalysis. J Am Chem Soc 2022;144:5723-7. [PMID: 35316019 DOI: 10.1021/jacs.2c00670] [Reference Citation Analysis]
8 Ma D, Chen Z, He Z, Huang X. A SNARE Protein Identification Method Based on iLearnPlus to Efficiently Solve the Data Imbalance Problem. Front Genet 2022;12:818841. [DOI: 10.3389/fgene.2021.818841] [Reference Citation Analysis]
9 Zulfiqar H, Huang QL, Lv H, Sun ZJ, Dao FY, Lin H. Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique. Int J Mol Sci 2022;23:1251. [PMID: 35163174 DOI: 10.3390/ijms23031251] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
10 Zhai Y, Zhang J, Zhang T, Gong Y, Zhang Z, Zhang D, Zhao Y. AOPM: Application of Antioxidant Protein Classification Model in Predicting the Composition of Antioxidant Drugs. Front Pharmacol 2022;12:818115. [DOI: 10.3389/fphar.2021.818115] [Reference Citation Analysis]
11 Lin C, Wang L, Shi L. AAPred-CNN: accurate predictor based on deep convolution neural network for identification of anti-angiogenic peptides. Methods 2022:S1046-2023(22)00010-X. [PMID: 35031486 DOI: 10.1016/j.ymeth.2022.01.004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
12 Li H, Shi L, Gao W, Zhang Z, Zhang L, Wang G. dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost. Methods 2022:S1046-2023(22)00001-9. [PMID: 34998983 DOI: 10.1016/j.ymeth.2022.01.001] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Ao C, Jiao S, Wang Y, Yu L, Zou Q. Biological Sequence Classification: A Review on Data and General Methods. Research 2022;2022. [DOI: 10.34133/research.0011] [Reference Citation Analysis]
14 Li H, Gong Y, Liu Y, Lin H, Wang G. Detection of transcription factors binding to methylated DNA by deep recurrent neural network. Brief Bioinform 2021:bbab533. [PMID: 34962264 DOI: 10.1093/bib/bbab533] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
15 Gu X, Guo L, Liao B, Jiang Q. Pseudo-188D: Phage Protein Prediction Based on a Model of Pseudo-188D. Front Genet 2021;12:796327. [PMID: 34925468 DOI: 10.3389/fgene.2021.796327] [Reference Citation Analysis]
16 Zhao D, Teng Z, Li Y, Chen D. iAIPs: Identifying Anti-Inflammatory Peptides Using Random Forest. Front Genet 2021;12:773202. [PMID: 34917130 DOI: 10.3389/fgene.2021.773202] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
17 Gong Y, Liao B, Wang P, Zou Q. DrugHybrid_BS: Using Hybrid Feature Combined With Bagging-SVM to Predict Potentially Druggable Proteins. Front Pharmacol 2021;12:771808. [PMID: 34916947 DOI: 10.3389/fphar.2021.771808] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
18 Jia Y, Huang S, Zhang T. KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest. Front Genet 2021;12:811158. [PMID: 34912382 DOI: 10.3389/fgene.2021.811158] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]