Modeling cell-to-cell stochastic variability in intrinsic apoptosis pathway. - Hsu Kiang Ooi; Lan Ma (EMBC, 2012)

Modeling heterogeneous responsiveness of intrinsic apoptosis pathway. - Hsu Kiang Ooi; Lan Ma (BMC Syst. Biol., 2013)

MiR-192-Mediated Positive Feedback Loop Controls the Robustness of Stress-Induced p53 Oscillations in Breast Cancer Cells. - Richard Moore; Hsu Kiang Ooi; Taek Kang; Leonidas Bleris; Lan Ma (PLoS Comput. Biol., 2015)

Deep Evolutionary Learning for Molecular Design. - Yifeng Li 001; Hsu Kiang Ooi; Alain B. Tchagang (CoRR, 2021)

Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. - Mohammad Sajjad Ghaemi; Karl Grantham; Isaac Tamblyn; Yifeng Li 001; Hsu Kiang Ooi (Canadian AI, 2022)

Deep Evolutionary Learning for Molecular Design. - Karl Grantham; Muhetaer Mukaidaisi; Hsu Kiang Ooi; Mohammad Sajjad Ghaemi; Alain B. Tchagang; Yifeng Li 001 (IEEE Comput. Intell. Mag., 2022)

Machine learning for the prediction of safe and biologically active organophosphorus molecules. - Hang Hu 017; Hsu Kiang Ooi; Mohammad Sajjad Ghaemi; Anguang Hu (Canadian AI, 2023)

bfCHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design. - Mohammad Sajjad Ghaemi; Hang Hu 017; Anguang Hu; Hsu Kiang Ooi (KI, 2023)

CHA2: CHemistry Aware Convex Hull Autoencoder Towards Inverse Molecular Design. - Mohammad Sajjad Ghaemi; Hang Hu 017; Anguang Hu; Hsu Kiang Ooi (CoRR, 2023)