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For: Li C, Gao Z, Su B, Xu G, Lin X. Data analysis methods for defining biomarkers from omics data. Anal Bioanal Chem 2021. [PMID: 34951658 DOI: 10.1007/s00216-021-03813-7] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Barberis E, Khoso S, Sica A, Falasca M, Gennari A, Dondero F, Afantitis A, Manfredi M. Precision Medicine Approaches with Metabolomics and Artificial Intelligence. IJMS 2022;23:11269. [DOI: 10.3390/ijms231911269] [Reference Citation Analysis]
2 Farschtschi S, Riedmaier-Sprenzel I, Phomvisith O, Gotoh T, Pfaffl MW. The successful use of -omic technologies to achieve the 'One Health' concept in meat producing animals. Meat Sci 2022;193:108949. [PMID: 36029570 DOI: 10.1016/j.meatsci.2022.108949] [Reference Citation Analysis]
3 Li Z, Zhang Y, Hoene M, Fritsche L, Zheng S, Birkenfeld A, Fritsche A, Peter A, Liu X, Zhao X, Zhou L, Luo P, Weigert C, Lin X, Xu G, Lehmann R. Diagnostic Performance of Sex-Specific Modified Metabolite Patterns in Urine for Screening of Prediabetes. Front Endocrinol 2022;13:935016. [DOI: 10.3389/fendo.2022.935016] [Reference Citation Analysis]
4 Chakraborty D, Sharma N, Kour S, Sodhi SS, Gupta MK, Lee SJ, Son YO. Applications of Omics Technology for Livestock Selection and Improvement. Front Genet 2022;13:774113. [DOI: 10.3389/fgene.2022.774113] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Consonni R, Ottolina G. NMR Characterization of Lignans. Molecules 2022;27:2340. [PMID: 35408739 DOI: 10.3390/molecules27072340] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]