Irene M. Ong

Publication Activity (10 Years)

Years Active: 2002-2021
Publications (10 Years): 3

Top Topics

Likelihood Ratio

Hypothesis Tests

Recursive Algorithm

Top Venues

ILP (Late Breaking Papers)

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Publications

Zihao Zheng, Aisha M. Mergaert, Irene M. Ong, Miriam A. Shelef, Michael A. Newton
MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing. Bioinform. 37 (17) (2021)
Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside
Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. 17 (2016)
Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa
Towards Using Probabilities and Logic to Model Regulatory Networks. CBMS (2014)
António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa
Discovering Differentially Expressed Genes in Yeast Stress Data. CBMS (2014)
António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa
A Problog Model for Analyzing Gene Regulatory Networks. ILP (Late Breaking Papers) (2012)
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa
Change of Representation for Statistical Relational Learning. IJCAI (2007)
C. David Page Jr., Irene M. Ong
Experimental Design of Time Series Data for Learning from Dynamic Bayesian Networks. Pacific Symposium on Biocomputing (2006)
Irene M. Ong, Scott E. Topper, C. David Page Jr., Vítor Santos Costa
Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming. ILP (2006)
Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa
Mode Directed Path Finding. ECML (2005)
Joseph Bockhorst, Irene M. Ong
FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets. ILP (2004)
Irene M. Ong, Jeremy D. Glasner, David Page
Modelling regulatory pathways in E. coli from time series expression profiles. ISMB (2002)