Publications for Xia Jiang, PhD

2018

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.

2017

Lee S, Jiang X. Modeling miRNA-mRNA interactions that cause phenotypic abnormality in breast cancer patients. PLOS One. Online 9 August 2017.

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. 

2015

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

Jiang X, Neapolitan RE. LEAP: biomarker inference through learning and evaluating association patterns. Genetic Epidemiology. 2015; 39(3):173–184. PMID: 25677188. PMCID: PMC4366363.

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

2014

Neapolitan RE, Jiang X. The Bayesian Network Story. In: Hajek A, Hitchcock C, editors. The Oxford Handbook of Probability and Philosophy. Oxford University Press, 2014.

Jiang X, Visweswaran S, Neapolitan RE. Scoring and Searching Bayesian Network Models of Gene-Phenotype Association. In: Sinoquet C, Mourad R, editors. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics. Oxford University Press, 2014.

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. Journal of the American Medical Informatics Association (2014). Oct;21(e2):e312-9. doi: 10.1136/amiajnl-2013-002358. Epub 2014 Apr 15. PMID: 24737607. PMC4173174.

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

Cai B, Jiang X. Revealing Biological Pathways Implicated in Lung Cancer from TCGA Gene Expression Data using Gene Set Enrichment Analysis. Cancer Informatics Supplement on Cancer Clinical Information Systems. 2014.

Neapolitan RE, Jiang X. Inferring Aberrant Signal Transduction Pathways in Ovarian Cancer from TCGA Data. Cancer Informatics Supplement on Cancer Clinical Information Systems. 2014; 13(s1): 29-36. doi: 10.4137/CIN.S13881

Cai C, Chen L, Jiang X, Lu X. Integrating protein phosphorylation and gene expression data to infer signaling pathways. Cancer Informatics Supplement on Cancer Clinical Information Systems. 2014; 13(s1): 59-67. doi: 10.4137/CIN.S13883

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

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

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.

2012

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

Sverchkov Y, Jiang X, Cooper GF.  Spatial cluster detection using dynamic programming. BMC Medical Informatics & Decision Making 12:22(2012).  Doi:10.1186/1472-6947-12-22.  PMID: 22443103. PMC: PMC3403878.

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

2011

Jiang X, Barmada MM, Cooper GF, Becich MJ. A Bayesian method for evaluating and discovering disease loci associations. PLoS ONE 6 (2011). PMID: 21853025. PMC3154195.

Jiang X, Visweswaran S,  Neapolitan RE. Mining Epistatic Interactions from High-Dimensional Data Sets Using Bayesian Networks, in Holmes, D. and L. Jain (Eds.): Foundations and Intelligent Paradigms--3, Springer-Verlag, Berlin Heidelberg, 2011, DOI:10.1007/978-3-642-23151-3_9.

Jiang X, R.E. Neapolitan, M.M. Barmada, S.Visweswaran. Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinformatics; 2011: 12(89). PMID: 21453508

2010

Jiang X, Cooper G. Joint SNP analysis using a breast cancer GWAS data set. In: Proceedings of Cancer Informatics Workshop. Cancer Informatics Workshop; 2010; Cambridge UK 2010.

Jiang X, Neill DB, Cooper GF.  A Bayesian network model for spatial event surveillance. International Journal of Approximate Reasoning (2010) 51:224-239.  doi: ttp://dx.doi.org/10.1016/j.ijar.2009.01.001. Publication not directly supported by NIH.

Jiang X, Cooper GF.  A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection. Data Mining and Knowledge Discovery (2010). DOI: 10.1007/s10618-009-0151-4.  

Jiang X, Cooper GF. A Bayesian spatio-temporal method for disease outbreak detection. Journal of the American Medical Informatics Association 17 (2010) 462-471. PMID: 20595315.  PMC2995651.

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.

Jiang X, Barmada MM, Visweswaran S. Identifying genetic Interactions in genome-wide data using Bayesian networks. Genetic Epidemiology. [Published online ahead of print June 21 2010] PMID: 20568290

Jiang X, Neill DB, Cooper GF. On the robustness of Bayesian network based spatial event surveillance. International Journal of Approximate Reasoning, 51 (2010) p 224-239.  http://dx.doi.org/10.1016/j.ijar.2009.01.001.

2009

Neill DB, Cooper GF, Das K, Jiang X, Schneider J. Bayesian Networks Scan Statistics for Multivariate Pattern Detection. In: Glaz J, Pozdnyakov V, Wallenstein S, editors. Scan Statistics - Methods and Applications. Birkhauser, 2009.

Jiang X, Wallstrom G, Cooper GF, Wagner MM. Bayesian prediction of an epidemic curve. J Biomed Inform. 2009 Feb; 42(1):90-9. doi: 10.1016/j.jbi.2008.05.013. Epub 2008 Jun 13.  PMID: 18593605.  

Jiang X, Neill DB, Cooper GF.  Generalized AMOC curves for evaluation and improvement of event surveillance. In: Proceedings of the Annual Symposium of the American Medical Informatics Association (2009) 281-285. PMID: 20351865. PMC2815453.

2008

Jiang X, Cooper GF. A temporal method for outbreak detection using a Bayesian networks. In: Proceedings of the International Symposium on Disease Surveillance. 2008.

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.

2007

Jiang X. Bayesian Network for Estimating and Predicting Epicurves. Advances in Disease Surveillance. 2007; 2:15.

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

Jiang X, Cooper GF. A recursive algorithm for spatial cluster detection. In: Proceedings of the Fall Symposium of the American Medical Informatics Association (2007) 369-373. PMID:  18693860. PMC2655859.

2006

Jiang X, Wallstrom GL. A Bayesian Network for Outbreak Detection and Prediction. 21st Association for the Advancement of Artificial Intelligence (AAAI) Conference. 2006:1155-60.

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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