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Research
Latest papers
Functional non-parametric mixed effects models for cytotoxicity assessment and clustering.
Scientific reports · 2023 · senior author
Stochastic dynamics and survival analysis of a cell population model with random perturbations.
Mathematical biosciences and engineering : MBE · 2018 · first author
Modeling and simulation for toxicity assessment.
Mathematical biosciences and engineering : MBE · 2017 · first author
Latest funding
- $96,000
Numerical methods for stochastic differential equations
NSERC · 2018 · Principal investigator
- $20,000
Numerical methods for random dynamical systems
NSERC · 2015 · Principal investigator
4 publications.
Functional non-parametric mixed effects models for cytotoxicity assessment and clustering.
Ma T, Richard D, Yang YB, Kashlak AB, Anton C
Stochastic dynamics and survival analysis of a cell population model with random perturbations.
Anton C, Yong A
Modeling and simulation for toxicity assessment.
Anton C, Deng J, Wong YS, Zhang Y, Zhang W, Gabos S, Huang DY, Jin C
Machine learning algorithms for mode-of-action classification in toxicity assessment.
Zhang Y, Wong YS, Deng J, Anton C, Gabos S, Zhang W, Huang DY, Jin C
Numerical methods for stochastic differential equations
Principal investigators: Anton, Cristina
Keywords: convergence analysis for numerical schemes; error analysis for stochastic symplectic schemes; numerical schemes; ordinary stochastic differential equations; stochastic Hamiltonian and quasi-Hamiltonian systems; uncertainty quantification
Numerical methods for random dynamical systems
Principal investigators: Anton, Cristina
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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