Xia Jiang, PhD

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 RE, Jiang X. The Bayesian Network Story. In Hajek A and Hitchcock C (Eds.): The Oxford Handbook of Probability and Philosophy. Oxford University Press, 2016.

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.

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.

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