Irene M. Ong

16 papers A* 1A 1B 4Misc 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
MPAC: a computational framework for inferring pathway activities from multi-omic data.
Bioinform.
Peng Liu, David Page, Paul Ahlquist, Irene M. Ong, Anthony Gitter
2025 — conf
TCR-ECHO: Evolutionary Cross-attention with Physicochemical Bias for Hierarchical TCR-Peptide Binding Prediction.
MLCB
Tapanmitra Ravi, Irene M. Ong
2024 J jnl
Ranking antibody binding epitopes and proteins across samples from whole proteome tiled linear peptides.
Bioinform.
Sean J. McIlwain, Anna Hoefges, Amy K. Erbe, Paul M. Sondel, Irene M. Ong
2023 J jnl
MASH Native: a unified solution for native top-down proteomics data processing.
Bioinform.
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
2021 J jnl
MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing.
Bioinform.
Zihao Zheng, Aisha M. Mergaert, Irene M. Ong, Miriam A. Shelef, Michael A. Newton
2016 — conf
Discriminatory power of common genetic variants in personalized breast cancer diagnosis.
Image Perception, Observer Performance, and Technology Assessment
Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
2016 J jnl
Structure-Leveraged Methods in Breast Cancer Risk Prediction.
J. Mach. Learn. Res.
Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside
2014 B conf
Discovering Differentially Expressed Genes in Yeast Stress Data.
CBMS
António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa
2014 B conf
Towards Using Probabilities and Logic to Model Regulatory Networks.
CBMS
António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa
2012 — conf
A Problog Model for Analyzing Gene Regulatory Networks.
ILP (Late Breaking Papers)
António Gonçalves, Irene M. Ong, Jeffrey A. Lewis, Vítor Santos Costa
2007 A* conf
Change of Representation for Statistical Relational Learning.
IJCAI
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa
2006 Misc conf
Experimental Design of Time Series Data for Learning from Dynamic Bayesian Networks.
Pacific Symposium on Biocomputing
C. David Page Jr., Irene M. Ong
2006 B conf
Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming.
ILP
Irene M. Ong, Scott E. Topper, C. David Page Jr., Vítor Santos Costa
2005 — conf
Mode Directed Path Finding.
ECML
Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa
2004 B conf
FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets.
ILP
Joseph Bockhorst, Irene M. Ong
2002 A conf
Modelling regulatory pathways in E. coli from time series expression profiles.
ISMB
Irene M. Ong, Jeremy D. Glasner, David Page