Xia Jiang, PhD

Conjugated equine estrogen and medroxyprogesterone acetate are associated with decreased risk of breast cancer relative to bioidentical hormone therapy and controls.

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.

Modeling miRNA-mRNA interactions that cause phenotypic abnormality in breast cancer patients

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

An algorithm for direct causal learning of influences on patient outcomes.

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. 

LEAP: biomarker inference through learning and evaluating association patterns

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

Study of integrated heterogeneous data reveals prognostic power of gene expression for breast cancer survival

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.

Learning predictive interactions using information gain and Bayesian network scoring

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.

Scoring and Searching Bayesian Network Models of Gene-Phenotype Association

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.

A Note of Caution on Maximizing Entropy

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

Modeling the Altered Expression Levels of Genes on Signaling Pathways in Tumors as Causal Bayesian Networks

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.

A Comparative Analysis of Methods for Predicting Clinical Outcomes Using High-Dimensional Genomic Datasets

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.

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