Xia Jiang
Citeras av
Citeras av
Inferring causal molecular networks: empirical assessment through a community-based effort
SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ...
Nature methods 13 (4), 310-318, 2016
Data mining: know it all
S Chakrabarti, E Cox, E Frank, RH Güting, J Han, X Jiang, M Kamber, ...
Morgan Kaufmann, 2008
Learning genetic epistasis using Bayesian network scoring criteria
X Jiang, RE Neapolitan, MM Barmada, S Visweswaran
BMC bioinformatics 12 (1), 89, 2011
Identifying genetic interactions in genome‐wide data using Bayesian networks
X Jiang, MM Barmada, S Visweswaran
Genetic epidemiology 34 (6), 575-581, 2010
An informatics research agenda to support precision medicine: seven key areas
JD Tenenbaum, P Avillach, M Benham-Hutchins, MK Breitenstein, ...
Journal of the American Medical Informatics Association 23 (4), 791-795, 2016
Contemporary artificial intelligence
RE Neapolitan, X Jiang
Chapman and Hall/CRC, 2012
A Bayesian spatio-temporal method for disease outbreak detection
X Jiang, GF Cooper
Journal of the American Medical Informatics Association 17 (4), 462-471, 2010
A Bayesian method for evaluating and discovering disease loci associations
X Jiang, MM Barmada, GF Cooper, MJ Becich
PloS one 6 (8), e22075, 2011
A fast algorithm for learning epistatic genomic relationships
X Jiang, RE Neapolitan, MM Barmada, S Visweswaran, GF Cooper
AMIA annual Symposium proceedings 2010, 341, 2010
Bayesian prediction of an epidemic curve
X Jiang, G Wallstrom, GF Cooper, MM Wagner
Journal of Biomedical Informatics 42 (1), 90-99, 2009
Discovering causal interactions using Bayesian network scoring and information gain
Z Zeng, X Jiang, R Neapolitan
BMC bioinformatics 17 (1), 221, 2016
A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion
B Cai, X Jiang
Journal of biomedical informatics 48, 114-121, 2014
Artificial intelligence: With an introduction to machine learning
RE Neapolitan, X Jiang
CRC Press, 2018
Probabilistic methods for financial and marketing informatics
RE Neapolitan, X Jiang
Elsevier, 2010
Probabilistic graphical models for genetics, genomics, and postgenomics
C Sinoquet
OUP Oxford, 2014
Pan-cancer analysis of TCGA data reveals notable signaling pathways
R Neapolitan, CM Horvath, X Jiang
BMC cancer 15 (1), 516, 2015
Mining pure, strict epistatic interactions from high-dimensional datasets: ameliorating the curse of dimensionality
X Jiang, RE Neapolitan
PloS one 7 (10), e46771, 2012
A new method for predicting patient survivorship using efficient Bayesian network learning
X Jiang, D Xue, A Brufsky, S Khan, R Neapolitan
Cancer informatics 13, CIN. S13053, 2014
A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection
X Jiang, GF Cooper
Data Mining and Knowledge Discovery 20 (3), 328-360, 2010
A Bayesian network model for spatial event surveillance
X Jiang, DB Neill, GF Cooper
International Journal of Approximate Reasoning 51 (2), 224-239, 2010
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Artiklar 1–20