Xia Jiang, PhD

Research Interests: 

Application of AI, Machine Learning, and Bayesian Networks in biomedical domain, clinical informatics, causal learning, prediction and decision support, biomarker/risk factors discovery via learning from data, design and development of computational methods/algorithms, and cancer and translational informatics.

Associate Professor, Department of Biomedical Informatics
University of Pittsburgh School of Medicine
Faculty, Pitt Intelligent Systems Program
Faculty, CMU-Pitt Computational and Systems Biology PhD Program
Publications: 

Zeng Z, Jiang X, Li X, Wells A, Luo Y, Neapolitan RE. Conjugated equine estrogen and medroxyprogesterone acetate are associated with decreased risk of breast cancer relative to bioidentical hormone therapy and controls. PLoS One. 2018 May 16;13(5):e0197064. doi: 10.1371/journal.pone.0197064. eCollection 2018. PMID: 29768475. PMCID: PMC5955567.

Zeng Z, Espino S, Roy A, Li X, Khan SA, Clare SE, Jiang X, Neapolitan R, Luo Y. Using natural language processing and machine learning to identify breast cancer local recurrence. BMC Bioinformatics. 2018 Dec 28:19(Suppl 17):498. doi: 10.1186/s12859-018-2466-x. PMID: 30591037. PMCID: PMC6309052.

Lee S, Jiang X. Modeling miRNA-mRNA interactions that cause phenotypic abnormality in breast cancer patients. PLOS One.2017 Aug 9;12(8):e1082666. doi: 10.1371/journal.pone.0182666. eCollection 2017. PMID: 28793339. PMCID: PMC5549916.

Rathnam C, Lee S, Jiang X. An algorithm for direct causal learning of influences on patient outcomes. Artif Intell Med. 2017 Jan; 75: 1-15. doi: 10.1016/j.artmed.2016.10.003. Epub 2016 Nov 5. PMID: 28363452. PMC ID: PMC5415921

Tenenbaum JD, Avillach P, Benhan-Hutchins M, Breitenstein MK, Crowgey EL, Hoffman MA, Jiang X, Madhavan S, Mattison JE, Nagarajan R, Ray B, Shin D, Visweswaran S, Zhao Z, Freimuth RR. An informatics research agenda to support precision medicine: seven key areas. J Am Med Inform Assoc. 2016 Jul;23(4):791-5. doi: 10.1093/jamia/ocv213. Epub 2016 Apr 23. PMID: 27107452. PMCID: PMC4926738.

Zeng Z, Jiang X, Neapolitan R. Discovering causal interactions using Bayesian network scoring and information gain. BMC Bioinformatics. 2016 May 26;17(1):221. doi: 10.1186/s12859-016-1084-8. PMID: 27230078. PMCID: PMC4880828.

Hill SM, Heiser LM, Cokelaer T, Jiang X, et. al. Inferring causal molecular networks: empirical assessment through a community-bsed effort. Nat Methods. 2016 Apr;13(4):310-8. doi: 10.1038/nmeth.3773. Epub 2016 Feb 22. PMID: 26901648. PMCID: PMC4854847.

Cai B, Jiang X. Computational methods for ubiquination site prediction using physicochemical properties of protein sequences. BMC Bioinformatics. 2016 Mar 3;17:116. doi: 10.1186/s12859-016-0959-z. PMID: 26940649. PMCID: PMC4778322.

Neapolitan R, Horvath CM, Jiang X. Pan-cancer analysis of TCGA data reveals notable signaling pathways. BMC Cancer. 2015 Jul 14;15:516. doi: 10.1186/s12885-015-1484-6. PMID: 26169172. PMCID: PMC4501083.

Jiang X, Neapolitan RE. LEAP: biomarker inference through learning and evaluating association patterns. Genet Epidemiol. 2015 Mar;39(3):173-184. doi: 10.1002/gepi.21889. PMID: 25677188. PMCID: PMC4366363.

Neapolitan RE, Jiang X. Study of integrated heterogeneous data reveals prognostic power of gene expression for breast cancer survival. PLoS ONE. 2015 Feb 27;10(2):e0117658. DOI: 10.1371/journal.pone.0117658. PMID: 25723490. PMCID: PMC4344205.

Jiang X, Jao J, Neapolitan R. Learning predictive interactions using information gain and Bayesian network scoring. PLoS ONE. 2015 Dec 1;10(12): e0143247. doi:10.1371/journal.pone.0143247. PMID: 26624895. PMCID: PMC4666609.

Jiang X, Neapolitan RE. Evaluation of a two-stage framework for prediction using big genomic data. Brief Bioinform. 2015 Nov;16(6):912-21. doi: 10.1093/bib/bbv010. Epub 2015 Mar 18. PMID: 25788325. PMCID: PMC4652616.

Neapolitan RE, Jiang X. A Note of Caution on Maximizing Entropy. Entropy. 2014; 16 (7):4004-14. doi: 10.3390/e16074004.

Neapolitan RE, Xue D, Jiang X. Modeling the Altered Expression Levels of Genes on Signaling Pathways in Tumors as Causal Bayesian Networks. Cancer Inform. 2014 May 15; 13:77-84. doi: 10.4137/CIN.S13578. PMID: 24932098. PMCID: PMC4051800.

Jiang X, Cai B, Xue D, Lu X, Cooper GF, Neapolitan RE. A comparative analysis of methods for predicting clinical outcomes using high-dimensional genomic datasets. J Am Med Inform Assoc. 2014 Oct;21(e2):e312-9. doi: 10.1136/amiajnl-2013-002358. Epub 2014 Apr 15. PMID: 24737607. PMCID: PMC4173174.

Cai B, Jiang X. Novel Artificial Neural Network Method for Biomedical Prediction based on Matrix Pseudo-Inversion. Journal of Biomedical Informatics. 2014 Apr; 48:114-21. doi: 10.1016/j.jbi.2013.12.009.

Jiang X, Xue D, Brufsky A, Khan S, Neapolitan R. A new method for predicting patient survivorship using efficient Bayesian network learning. Cancer Inform. 2014 Feb 13; 13 (2):47-57. doi: 10.4137/CIN.S13053. eCollection 2014. PMID: 24558297. PMCID: PMC3928477

Cai B, Jiang X. Revealing Biological Pathways Implicated in Lung Cancer from TCGA Gene Expression Data using Gene Set Enrichment Analysis. Cancer Inform. 2014 Dec 1;13(Suppl 1):113-21. doi: 10.4137/CIN.S13882. eCollection 2014. PMID: 25520551. PMCID: PMC4251186.

Neapolitan R, Jiang X. Inferring Aberrant Signal Transduction Pathways in Ovarian Cancer from TCGA Data. Cancer Inform. 2014 Oct 13;13(Suppl 1): 29-36. doi: 10.4137/CIN.S13881. eCollection 2014. PMID: 25392681. PMCID: PMC4216062.

Cai C, Chen L, Jiang X, Lu X. Modeling Signal Transduction from Protein Phosphorylation to Gene Expression. Cancer Inform. 2014 Oct 13; 13(Suppl 1): 59-67. doi: 10.4137/CIN.S13883. eCollection 2014. PMID: 25392684. PMCID: PMC4216050.

Neapolitan RE, Jiang X. Contemporary Artificial Intelligence. 1st ed. Boca Raton, FL: Chapman and Hall/CRC, 2012.

Jiang X, Neapolitan RE. Mining Strict Epistatic Interactions From High-Dimensional Datasets: Ameliorating the Curse of Dimensionality. PLoS ONE. 2012; 7 (10):e46771. PMCID: PMC3470561. PMID: 23071633

Jiang X, Barmada MM, Cooper GF, Becich MJ. A Bayesian method for evaluating and discovering disease loci associations. PLoS ONE. 2011;6(8):e22075. doi: 101371/journal.pone.0022075. Epub 2011 Aug 10. PMID: 21853025. PMCID: PMC3154195.

Jiang X, Neapolitan RE, Barmada M, Visweswaran S, Cooper GF. A fast algorithm for learning epistatic genomic relationships. In: Proceedings of the Annual Symposium of the American Medical Informatics Association (2010) 341-345. PMID: 21346997. PMC3041370.

Chakrabarti S, Jiang X, et al. Data Mining: Know It All, Morgan Kaufmann, Burlington, MA, 2009.

Jiang X, Cooper GF. Modeling the Temporal Trend of the Daily Severity of an Outbreak using Bayesian Networks. In: Holmes DE, Jain LC, editors. Innovations in Bayesian Networks of Studies in Computational Intelligence. NY: Springer-Verlag, 2008.

Neapolitan RE, Jiang X. Probabilistic Methods for Financial and Marketing Informatics. San Mateo, CA: Morgan Kaufmann, 2007.

Neapolitan RE, Jiang X. A Tutorial on Learning Casual Influences. In: Holmes DE, Jain LC, editors. Innovations in Machine Learning. NY: Springer-Verlag, 2006.

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