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For: Sharma RK, Mishra K, Farooqui A, Behari A, Kapoor VK, Sinha N. 1H nuclear magnetic resonance (NMR)-based serum metabolomics of human gallbladder inflammation. Inflamm Res 2017;66:97-105. [DOI: 10.1007/s00011-016-0998-y] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 1.5] [Reference Citation Analysis]
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1 Ranjan R, Sinha N. NMR-Based Metabolomics in Gallbladder Cancer Research. Methods Mol Biol 2019;2037:231-41. [PMID: 31463849 DOI: 10.1007/978-1-4939-9690-2_14] [Reference Citation Analysis]
2 Lee LC, Liong C, Jemain AA. Validity of the best practice in splitting data for hold-out validation strategy as performed on the ink strokes in the context of forensic science. Microchemical Journal 2018;139:125-33. [DOI: 10.1016/j.microc.2018.02.009] [Cited by in Crossref: 9] [Article Influence: 2.3] [Reference Citation Analysis]
3 Chen Y, Wang Q, Gao W, Ma B, Xue D, Hao C. Changes and Correlations of the Intestinal Flora and Liver Metabolite Profiles in Mice With Gallstones. Front Physiol 2021;12:716654. [PMID: 34489732 DOI: 10.3389/fphys.2021.716654] [Reference Citation Analysis]
4 Ranjan R, Sinha N. Nuclear magnetic resonance (NMR)-based metabolomics for cancer research. NMR Biomed 2019;32:e3916. [PMID: 29733484 DOI: 10.1002/nbm.3916] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 1.5] [Reference Citation Analysis]
5 Sasaki C, Hiraishi T, Oku T, Okuma K, Suzumura K, Hashimoto M, Ito H, Aramori I, Hirayama Y. Metabolomic approach to the exploration of biomarkers associated with disease activity in rheumatoid arthritis. PLoS One 2019;14:e0219400. [PMID: 31295280 DOI: 10.1371/journal.pone.0219400] [Cited by in Crossref: 19] [Cited by in F6Publishing: 15] [Article Influence: 6.3] [Reference Citation Analysis]
6 Song Z, Wang H, Yin X, Deng P, Jiang W. Application of NMR metabolomics to search for human disease biomarkers in blood. Clin Chem Lab Med 2019;57:417-41. [PMID: 30169327 DOI: 10.1515/cclm-2018-0380] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 3.3] [Reference Citation Analysis]
7 Foschi C, Laghi L, D'Antuono A, Gaspari V, Zhu C, Dellarosa N, Salvo M, Marangoni A. Urine metabolome in women with Chlamydia trachomatis infection. PLoS One 2018;13:e0194827. [PMID: 29566085 DOI: 10.1371/journal.pone.0194827] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 4.3] [Reference Citation Analysis]
8 Zhou J, Yue S, Peng Q, Wang L, Wang Z, Xue B. Metabonomic Responses of Grazing Yak to Different Concentrate Supplementations in Cold Season. Animals (Basel) 2020;10:E1595. [PMID: 32911680 DOI: 10.3390/ani10091595] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
9 Lee LC, Liong C, Jemain AA. Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge gaps. Analyst 2018;143:3526-39. [DOI: 10.1039/c8an00599k] [Cited by in Crossref: 143] [Cited by in F6Publishing: 39] [Article Influence: 35.8] [Reference Citation Analysis]