Number of items: 10.
Article
Zeng, Z and Jiang, X and Neapolitan, R
(2016)
Discovering causal interactions using Bayesian network scoring and information gain.
BMC Bioinformatics, 17 (1).
Cai, B and Jiang, X
(2016)
Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.
BMC Bioinformatics, 17 (1).
Jiang, X and Jao, J and Neapolitan, R
(2015)
Learning predictive interactions using information gain and Bayesian network scoring.
PLoS ONE, 10 (12).
Neapolitan, R and Horvath, CM and Jiang, X
(2015)
Pan-cancer analysis of TCGA data reveals notable signaling pathways.
BMC Cancer, 15 (1).
Neapolitan, RE and Jiang, X
(2015)
Study of integrated heterogeneous data reveals prognostic power of gene expression for breast cancer survival.
PLoS ONE, 10 (2).
Neapolitan, RE and Jiang, X
(2014)
A note of caution on maximizing entropy.
Entropy, 16 (7).
4004 - 4014.
Jiang, X and Neapolitan, RE
(2012)
Mining Pure, Strict Epistatic Interactions from High-Dimensional Datasets: Ameliorating the Curse of Dimensionality.
PLoS ONE, 7 (10).
Sverchkov, Y and Jiang, X and Cooper, GF
(2012)
Spatial cluster detection using dynamic programming.
BMC medical informatics and decision making, 12 (1).
22 - ?.
Jiang, X and Barmada, MM and Cooper, GF and Becich, MJ
(2011)
A Bayesian method for evaluating and discovering disease loci associations.
PLoS ONE, 6 (8).
Jiang, X and Neapolitan, RE and Barmada, MM and Visweswaran, S
(2011)
Learning genetic epistasis using Bayesian network scoring criteria.
BMC Bioinformatics, 12.
This list was generated on Fri May 9 14:49:09 2025 EDT.