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For: Schlaberg R, Barrett A, Edes K, Graves M, Paul L, Rychert J, Lopansri BK, Leung DT. Fecal Host Transcriptomics for Non-Invasive Human Mucosal Immune Profiling: Proof of Concept in Clostridium Difficile Infection. Pathog Immun 2018;3:164-80. [PMID: 30283823 DOI: 10.20411/pai.v3i2.250] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Chen Y, Xi M, Johnson A, Tomlinson G, Campigotto A, Chen L, Sung L. Machine Learning Approaches to Investigate Clostridioides difficile Infection and Outcomes: A Systematic Review. International Journal of Medical Informatics 2022. [DOI: 10.1016/j.ijmedinf.2022.104706] [Reference Citation Analysis]
2 Schuele L, Cassidy H, Peker N, Rossen JWA, Couto N. Future potential of metagenomics in clinical laboratories. Expert Rev Mol Diagn 2021. [PMID: 34755585 DOI: 10.1080/14737159.2021.2001329] [Reference Citation Analysis]
3 Keddy KH, Saha S, Okeke IN, Kalule JB, Qamar FN, Kariuki S. TEMPORARY REMOVAL: Big data, biomarkers and proteomics: Informing childhood diarrhoeal disease management in low- and middle-income countries. EBioMedicine 2021;73:103668. [PMID: 34742129 DOI: 10.1016/j.ebiom.2021.103668] [Reference Citation Analysis]
4 Gangadoo S, Rajapaksha Pathirannahalage P, Cheeseman S, Dang YTH, Elbourne A, Cozzolino D, Latham K, Truong VK, Chapman J. The Multiomics Analyses of Fecal Matrix and Its Significance to Coeliac Disease Gut Profiling. Int J Mol Sci 2021;22:1965. [PMID: 33671197 DOI: 10.3390/ijms22041965] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]