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Cited by in F6Publishing
For: Han W, Wang M, Ye Y. A concurrent subtractive assembly approach for identification of disease associated sub-metagenomes. Res Comput Mol Biol 2017;2017:18-33. [PMID: 29177251 DOI: 10.1007/978-3-319-56970-3_2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.2] [Reference Citation Analysis]
Number Citing Articles
1 Wang Y, Chen Q, Deng C, Zheng Y, Sun F. KmerGO: A Tool to Identify Group-Specific Sequences With k-mers. Front Microbiol 2020;11:2067. [PMID: 32983048 DOI: 10.3389/fmicb.2020.02067] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
2 LaPierre N, Ju CJ, Zhou G, Wang W. MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction. Methods 2019;166:74-82. [PMID: 30885720 DOI: 10.1016/j.ymeth.2019.03.003] [Cited by in Crossref: 34] [Cited by in F6Publishing: 18] [Article Influence: 11.3] [Reference Citation Analysis]
3 Wang Y, Fu L, Ren J, Yu Z, Chen T, Sun F. Identifying Group-Specific Sequences for Microbial Communities Using Long k-mer Sequence Signatures. Front Microbiol 2018;9:872. [PMID: 29774017 DOI: 10.3389/fmicb.2018.00872] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 1.8] [Reference Citation Analysis]
4 Han W, Tang H, Ye Y. Locality-Sensitive Hashing-Based k-Mer Clustering for Identification of Differential Microbial Markers Related to Host Phenotype. J Comput Biol 2022. [PMID: 35584271 DOI: 10.1089/cmb.2021.0640] [Reference Citation Analysis]
5 Nalbantoglu OU. Information Theoretic Metagenome Assembly Allows the Discovery of Disease Biomarkers in Human Microbiome. Entropy (Basel) 2021;23:187. [PMID: 33540903 DOI: 10.3390/e23020187] [Reference Citation Analysis]