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Admitted to the CSI PhD Program
Published:
I’m thrilled to share that I have been admitted to the Computer Science and Informatics (CSI) PhD program at Emory University!
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Predict Opioid-using Pharmacists from the Prescribing Practices Based on SVM Classification Model
Published in Atlantis Press SARL (ASSEHR), 2022
A support vector machine model achieves 85% accuracy in predicting pharmacists’ propensity to prescribe opioids using CMS prescribing data.
Recommended citation: Ran, X. (2022). “Predict Opioid-using Pharmacists from the Prescribing Practices Based on SVM Classification Model.” In: Proceedings of the International Conference on Applied Science, Engineering and Healthcare Research (ASSEHR). Atlantis Press SARL. doi:10.2991/assehr.k.220110.050
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Bile acid–gut microbiota imbalance in cholestasis and its long-term effect in mice
Published in mSystems, 2024
This study demonstrates that temporary hepatic cholestasis in mice induces persistent gut microbiota dysbiosis, characterized by reduced diversity, overgrowth of pathobionts, and sustained inflammation post-recovery.
Recommended citation: Yang X., Xu Y., Li J., **Ran X.**, Gu Z., Song L., Zhang L., Wen L., Ji G., & Wang R. (2024). “Bile acid–gut microbiota imbalance in cholestasis and its long-term effect in mice.” mSystems, 9(7):e00127-24.
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Gut Microbiota Modulation by Inulin Improves Metabolism and Ovarian Function in Polycystic Ovary Syndrome
Published in Advanced Science, 2025
Inulin reshapes the gut microbiota to enhance metabolic health and ovarian function in PCOS patients and mouse models.
Recommended citation: Geng L., Yang X., Sun J., Ran X., Zhou D., Ye M., Wen L., Wang R., & Chen M. (2025). “Gut Microbiota Modulation by Inulin Improves Metabolism and Ovarian Function in Polycystic Ovary Syndrome.” Advanced Science. doi:10.1002/advs.202412558
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An Analytic Pipeline to Obtain Reliable Genetic Ancestry Estimates from Tumor-Derived RNA Sequencing Data
Published in Cancer Epidemiology, Biomarkers & Prevention, 2025
A computational pipeline using tumor RNASeq data accurately estimates global genetic ancestry in the absence of germline DNA.
Recommended citation: Johnson C.E., **Ran X.**, Wrobel J., Davidson N.R., Greene C.S., Epstein M.P., Marks J.R., Peres L.C., Doherty J.A., & Schildkraut J.M. (2025). "An Analytic Pipeline to Obtain Reliable Genetic Ancestry Estimates from Tumor-Derived RNA Sequencing Data." Cancer Epidemiology, Biomarkers & Prevention. PMID:40622249
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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