Jiang X - Search Results

1

Pan-cancer analysis of TCGA data reveals notable signaling pathways.

Neapolitan R, Horvath CM, Jiang X. Neapolitan R, et al. Among authors: jiang x. BMC Cancer. 2015 Jul 14;15:516. doi: 10.1186/s12885-015-1484-6. BMC Cancer. 2015. PMID: 26169172 Free PMC article.

2

Modeling the altered expression levels of genes on signaling pathways in tumors as causal bayesian networks.

Neapolitan R, Xue D, Jiang X. Neapolitan R, et al. Among authors: jiang x. Cancer Inform. 2014 May 25;13:77-84. doi: 10.4137/CIN.S13578. eCollection 2014. Cancer Inform. 2014. PMID: 24932098 Free PMC article.

3

Inferring Aberrant Signal Transduction Pathways in Ovarian Cancer from TCGA Data.

Neapolitan R, Jiang X. Neapolitan R, et al. Among authors: jiang x. Cancer Inform. 2014 Oct 13;13(Suppl 1):29-36. doi: 10.4137/CIN.S13881. eCollection 2014. Cancer Inform. 2014. PMID: 25392681 Free PMC article. Review.

4

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

Neapolitan RE, Jiang X. Neapolitan RE, et al. Among authors: jiang x. PLoS One. 2015 Feb 27;10(2):e0117658. doi: 10.1371/journal.pone.0117658. eCollection 2015. PLoS One. 2015. PMID: 25723490 Free PMC article.

5

Discovering causal interactions using Bayesian network scoring and information gain.

Zeng Z, Jiang X, Neapolitan R. Zeng Z, et al. Among authors: jiang x. BMC Bioinformatics. 2016 May 26;17(1):221. doi: 10.1186/s12859-016-1084-8. BMC Bioinformatics. 2016. PMID: 27230078 Free PMC article.

6

Learning genetic epistasis using Bayesian network scoring criteria.

Jiang X, Neapolitan RE, Barmada MM, Visweswaran S. Jiang X, et al. BMC Bioinformatics. 2011 Mar 31;12:89. doi: 10.1186/1471-2105-12-89. BMC Bioinformatics. 2011. PMID: 21453508 Free PMC article.

7

Mining pure, strict epistatic interactions from high-dimensional datasets: ameliorating the curse of dimensionality.

Jiang X, Neapolitan RE. Jiang X, et al. PLoS One. 2012;7(10):e46771. doi: 10.1371/journal.pone.0046771. Epub 2012 Oct 12. PLoS One. 2012. PMID: 23071633 Free PMC article.

8

A new method for predicting patient survivorship using efficient bayesian network learning.

Jiang X, Xue D, Brufsky A, Khan S, Neapolitan R. Jiang X, et al. Cancer Inform. 2014 Feb 13;13:47-57. doi: 10.4137/CIN.S13053. eCollection 2014. Cancer Inform. 2014. PMID: 24558297 Free PMC article.

9

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. Jiang X, et al. J Am Med Inform Assoc. 2014 Oct;21(e2):e312-9. doi: 10.1136/amiajnl-2013-002358. Epub 2014 Apr 15. J Am Med Inform Assoc. 2014. PMID: 24737607 Free PMC article.

10

LEAP: biomarker inference through learning and evaluating association patterns.

Jiang X, Neapolitan RE. Jiang X, et al. Genet Epidemiol. 2015 Mar;39(3):173-84. doi: 10.1002/gepi.21889. Epub 2015 Feb 12. Genet Epidemiol. 2015. PMID: 25677188 Free PMC article.

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