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Cited by in F6Publishing
For: 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]
Number Citing Articles
1 Hu J, Zeng WW, Jia NX, Arif M, Yu DJ, Zhang GJ. Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm. J Chem Inf Model 2023. [PMID: 36719781 DOI: 10.1021/acs.jcim.2c00943] [Reference Citation Analysis]
2 Pradhan UK, Meher PK, Naha S, Pal S, Gupta A, Parsad R. PlDBPred: a novel computational model for discovery of DNA binding proteins in plants. Brief Bioinform 2023;24:bbac483. [PMID: 36416116 DOI: 10.1093/bib/bbac483] [Reference Citation Analysis]
3 Barukab O, Khan YD, Khan SA, Chou K, Maurer C. DNAPred_Prot: Identification of DNA-Binding Proteins Using Composition- and Position-Based Features. Applied Bionics and Biomechanics 2022;2022:1-17. [DOI: 10.1155/2022/5483115] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]