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Page 1
Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Targets with a Specific Focus on SARS-CoV-2 Pathogen: A Review.
Pathogens. 2022 Jan 24;11(2):146. doi: 10.3390/pathogens11020146.
Pathogens. 2022.
PMID: 35215090
Free PMC article.
Review.
Machine Learning-Based Ensemble Model for Zika Virus T-Cell Epitope Prediction.
Bukhari SNH, Jain A, Haq E, Khder MA, Neware R, Bhola J, Lari Najafi M.
Bukhari SNH, et al.
J Healthc Eng. 2021 Oct 1;2021:9591670. doi: 10.1155/2021/9591670. eCollection 2021.
J Healthc Eng. 2021.
PMID: 34631001
Free PMC article.
Retracted.
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Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes as potential vaccine candidates.
Bukhari SNH, Webber J, Mehbodniya A.
Bukhari SNH, et al.
Sci Rep. 2022 May 12;12(1):7810. doi: 10.1038/s41598-022-11731-6.
Sci Rep. 2022.
PMID: 35552469
Free PMC article.
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Ensemble Machine Learning Model to Predict SARS-CoV-2 T-Cell Epitopes as Potential Vaccine Targets.
Bukhari SNH, Jain A, Haq E, Mehbodniya A, Webber J.
Bukhari SNH, et al.
Diagnostics (Basel). 2021 Oct 26;11(11):1990. doi: 10.3390/diagnostics11111990.
Diagnostics (Basel). 2021.
PMID: 34829338
Free PMC article.
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Physicochemical properties-based hybrid machine learning technique for the prediction of SARS-CoV-2 T-cell epitopes as vaccine targets.
Bukhari SNH, Elshiekh E, Abbas M.
Bukhari SNH, et al.
PeerJ Comput Sci. 2024 Apr 25;10:e1980. doi: 10.7717/peerj-cs.1980. eCollection 2024.
PeerJ Comput Sci. 2024.
PMID: 38686005
Free PMC article.
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