Irene M. Ong

According to our database, Irene M. Ong authored at least 16 papers between 2002 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MPAC: a computational framework for inferring pathway activities from multi-omic data.

Peng Liu, David Page, Paul Ahlquist, Irene M. Ong, Anthony Gitter

Bioinform., 2025

TCR-ECHO: Evolutionary Cross-attention with Physicochemical Bias for Hierarchical TCR-Peptide Binding Prediction.

Tapanmitra Ravi, Irene M. Ong

Proceedings of the 20th Machine Learning in Computational Biology (MLCB), 2025

2024

Ranking antibody binding epitopes and proteins across samples from whole proteome tiled linear peptides.

Sean J. McIlwain, Anna Hoefges, Amy K. Erbe, Paul M. Sondel, Irene M. Ong

Bioinform., 2024

2023

MASH Native: a unified solution for native top-down proteomics data processing.

Eli J. Larson, Melissa R. Pergande, Michelle E. Moss, Kalina J. Rossler, R. Kent Wenger, Boris Krichel, Harini Josyer, Jake A. Melby, David S. Roberts, Kyndalanne Pike, Zhuoxin Shi, Hsin-Ju Chan, Bridget Knight, Holden T. Rogers, Kyle A. Brown, Irene M. Ong, Kyowon Jeong, Michael T. Marty, Sean J. McIlwain, Ying Ge

Bioinform., 2023

2021

MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing.

Zihao Zheng, Aisha M. Mergaert, Irene M. Ong, Miriam A. Shelef, Michael A. Newton

Bioinform., 2021

2016

Structure-Leveraged Methods in Breast Cancer Risk Prediction.

Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside

J. Mach. Learn. Res., 2016

Discriminatory power of common genetic variants in personalized breast cancer diagnosis.

Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2014

Discovering Differentially Expressed Genes in Yeast Stress Data.

António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Towards Using Probabilities and Logic to Model Regulatory Networks.

António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2012

A Problog Model for Analyzing Gene Regulatory Networks.

António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa

Proceedings of the Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, 2012

2007

Change of Representation for Statistical Relational Learning.

Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa

Proceedings of the IJCAI 2007, 2007

2006

Experimental Design of Time Series Data for Learning from Dynamic Bayesian Networks.

C. David Page Jr., Irene M. Ong

Proceedings of the Biocomputing 2006, 2006

Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming.

Irene M. Ong, Scott E. Topper, C. David Page Jr., Vítor Santos Costa

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

2005

Mode Directed Path Finding.

Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa

Proceedings of the Machine Learning: ECML 2005, 2005

2004

FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets.

Joseph Bockhorst, Irene M. Ong

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

2002

Modelling regulatory pathways in E. coli from time series expression profiles.

Irene M. Ong, Jeremy D. Glasner, David Page

Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002