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Cited by in F6Publishing
For: Jing G, Liu L, Wang Z, Zhang Y, Qian L, Gao C, Zhang M, Li M, Zhang Z, Liu X, Xu J, Su X. Microbiome Search Engine 2: a Platform for Taxonomic and Functional Search of Global Microbiomes on the Whole-Microbiome Level. mSystems 2021;6:e00943-20. [PMID: 33468706 DOI: 10.1128/mSystems.00943-20] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Chen Y, Su X. Search-based health status detection and disease classification using species-level profiles of metagenomes. Medicine in Microecology 2022;11:100048. [DOI: 10.1016/j.medmic.2021.100048] [Reference Citation Analysis]
2 Wu S, Chen Y, Li Z, Li J, Zhao F, Su X. Towards multi-label classification: Next step of machine learning for microbiome research. Comput Struct Biotechnol J 2021;19:2742-9. [PMID: 34093989 DOI: 10.1016/j.csbj.2021.04.054] [Reference Citation Analysis]
3 Zhang Y, Huang S, Jia S, Sun Z, Li S, Li F, Zhang L, Lu J, Tan K, Teng F, Yang F. The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries. J Oral Microbiol 2021;13:1921486. [PMID: 34035879 DOI: 10.1080/20002297.2021.1921486] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Sun Z, Liu X, Jing G, Chen Y, Jiang S, Zhang M, Liu J, Xu J, Su X. Comprehensive understanding to the public health risk of environmental microbes via a microbiome-based index. J Genet Genomics 2022:S1673-8527(22)00002-9. [PMID: 35017120 DOI: 10.1016/j.jgg.2021.12.011] [Reference Citation Analysis]
5 Su X. Elucidating the Beta-Diversity of the Microbiome: from Global Alignment to Local Alignment. mSystems 2021;6:e0036321. [PMID: 34402645 DOI: 10.1128/mSystems.00363-21] [Reference Citation Analysis]