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For: Jendoubi T. Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer. Metabolites 2021;11:184. [PMID: 33801081 DOI: 10.3390/metabo11030184] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Galal A, Talal M, Moustafa A. Applications of machine learning in metabolomics: Disease modeling and classification. Front Genet 2022;13:1017340. [PMID: 36506316 DOI: 10.3389/fgene.2022.1017340] [Reference Citation Analysis]
2 Singh A, Ambaru B, Bandsode V, Ahmed N. Panomics to decode virulence and fitness in Gram-negative bacteria. Front Cell Infect Microbiol 2022;12:1061596. [PMID: 36478674 DOI: 10.3389/fcimb.2022.1061596] [Reference Citation Analysis]
3 Maghsoudi Z, Nguyen H, Tavakkoli A, Nguyen T. A comprehensive survey of the approaches for pathway analysis using multi-omics data integration. Brief Bioinform 2022;23. [PMID: 36252928 DOI: 10.1093/bib/bbac435] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Jolyn Fernandes, Katelyn Dunigan-Russell, Hua Zhong, Vivian Lin, Mary Silverberg, Stephanie B. Moore, ViLinh Tran, Dean P. Jones, Peter F. Vitiello, Lynette K. Rogers, Trent E. Tipple. Transcriptomic-Metabolomic Profiling in Mouse Lung Tissues Reveals Sex- and Strain-Based Differences. Metabolites 2022;12:932. [PMID: 36295835 DOI: 10.3390/metabo12100932] [Reference Citation Analysis]
5 Guo X, Han J, Song Y, Yin Z, Liu S, Shang X. Using expression quantitative trait loci data and graph-embedded neural networks to uncover genotype–phenotype interactions. Front Genet 2022;13:921775. [DOI: 10.3389/fgene.2022.921775] [Reference Citation Analysis]
6 Aminov R. Metabolomics in antimicrobial drug discovery. Expert Opinion on Drug Discovery. [DOI: 10.1080/17460441.2022.2113774] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Resurreccion EP, Fong K. The Integration of Metabolomics with Other Omics: Insights into Understanding Prostate Cancer. Metabolites 2022;12:488. [DOI: 10.3390/metabo12060488] [Reference Citation Analysis]
8 Yu CT, Chao BN, Barajas R, Haznadar M, Maruvada P, Nicastro HL, Ross SA, Verma M, Rogers S, Zanetti KA. An evaluation of the National Institutes of Health grants portfolio: identifying opportunities and challenges for multi-omics research that leverage metabolomics data. Metabolomics 2022;18:29. [PMID: 35488937 DOI: 10.1007/s11306-022-01878-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
9 Moco S. Studying Metabolism by NMR-Based Metabolomics. Front Mol Biosci 2022;9:882487. [DOI: 10.3389/fmolb.2022.882487] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
10 Lewis KA, Osier N, Carrasco R, Chiou J, Carter P, Garcia A, Flowers E, Gennatas ED, Nguyen C, Rana A, Brown SA, Tiziani S. Serine, N-acetylaspartate differentiate adolescents with juvenile idiopathic arthritis compared with healthy controls: a metabolomics cross-sectional study. Pediatr Rheumatol Online J 2022;20:12. [PMID: 35144633 DOI: 10.1186/s12969-022-00672-z] [Reference Citation Analysis]
11 Zhang Z, Mei X, He Z, Xie X, Yang Y, Mei C, Xue D, Hu T, Shu M, Zhong W. Nicotine metabolism pathway in bacteria: mechanism, modification, and application. Appl Microbiol Biotechnol. [DOI: 10.1007/s00253-022-11763-y] [Reference Citation Analysis]
12 Kiseleva O, Kurbatov I, Ilgisonis E, Poverennaya E. Defining Blood Plasma and Serum Metabolome by GC-MS. Metabolites 2021;12:15. [PMID: 35050137 DOI: 10.3390/metabo12010015] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
13 Zenda T, Liu S, Dong A, Li J, Wang Y, Liu X, Wang N, Duan H. Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value. Front Plant Sci 2021;12:774994. [PMID: 34925418 DOI: 10.3389/fpls.2021.774994] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
14 Wandy J, Daly R. GraphOmics: an interactive platform to explore and integrate multi-omics data. BMC Bioinformatics 2021;22:603. [PMID: 34922446 DOI: 10.1186/s12859-021-04500-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
15 Nasaruddin ML, Tajul Arifin K. Application of Metabolomics in the Study of Starvation-Induced Autophagy in Saccharomyces cerevisiae: A Scoping Review. J Fungi (Basel) 2021;7:987. [PMID: 34829274 DOI: 10.3390/jof7110987] [Reference Citation Analysis]
16 Debik J, Sangermani M, Wang F, Madssen TS, Giskeødegård GF. Multivariate analysis of NMR-based metabolomic data. NMR Biomed 2021;:e4638. [PMID: 34738674 DOI: 10.1002/nbm.4638] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
17 Scolari F, Khamis FM, Pérez-Staples D. Beyond Sperm and Male Accessory Gland Proteins: Exploring Insect Reproductive Metabolomes. Front Physiol 2021;12:729440. [PMID: 34690804 DOI: 10.3389/fphys.2021.729440] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
18 Gómez-Cebrián N, Vázquez Ferreiro P, Carrera Hueso FJ, Poveda Andrés JL, Puchades-Carrasco L, Pineda-Lucena A. Pharmacometabolomics by NMR in Oncology: A Systematic Review. Pharmaceuticals (Basel) 2021;14:1015. [PMID: 34681239 DOI: 10.3390/ph14101015] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
19 Hageman J, Engel J. Special Issue: Development and Application of Statistical Methods for Analyzing Metabolomics Data. Metabolites 2021;11:451. [PMID: 34357345 DOI: 10.3390/metabo11070451] [Reference Citation Analysis]
20 Wandy J, Daly R. GraphOmics: An Interactive Platform To Explore And Integrate Multi-Omics Data.. [DOI: 10.1101/2021.06.24.449741] [Reference Citation Analysis]