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Developing a New Phylogeny-Driven Random Forest Model for Functional Metagenomics.
IEEE Trans Nanobioscience. 2023 Oct;22(4):763-770. doi: 10.1109/TNB.2023.3283462. Epub 2023 Oct 3.
IEEE Trans Nanobioscience. 2023.
PMID: 37279136
Phy-PMRFI: Phylogeny-Aware Prediction of Metagenomic Functions Using Random Forest Feature Importance.
Wassan JT, Wang H, Browne F, Zheng H.
Wassan JT, et al.
IEEE Trans Nanobioscience. 2019 Jul;18(3):273-282. doi: 10.1109/TNB.2019.2912824. Epub 2019 Apr 24.
IEEE Trans Nanobioscience. 2019.
PMID: 31021803
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A Comprehensive Study on Predicting Functional Role of Metagenomes Using Machine Learning Methods.
Wassan JT, Wang H, Browne F, Zheng H.
Wassan JT, et al.
IEEE/ACM Trans Comput Biol Bioinform. 2018 Jul 23. doi: 10.1109/TCBB.2018.2858808. Online ahead of print.
IEEE/ACM Trans Comput Biol Bioinform. 2018.
PMID: 30040657
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Role of Deep Learning in Predicting Aging-Related Diseases: A Scoping Review.
Wassan JT, Zheng H, Wang H.
Wassan JT, et al.
Cells. 2021 Oct 28;10(11):2924. doi: 10.3390/cells10112924.
Cells. 2021.
PMID: 34831148
Free PMC article.
Review.
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