no code implementations • 19 Dec 2023 • Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Alvarez, Dennis Wang
Our model is trained on a birth cohort of children with methylation profiled at ages 0-4, and we demonstrated that the status of methylation sites for each child can be accurately predicted at ages 5-7.
no code implementations • 20 Sep 2022 • Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos
The results show that the proposed model is promising to achieve personalized longitudinal MS assessment; they also suggest that features related to gait and balance as well as upper extremity function, remotely collected from sensor-based assessments, may be useful digital markers for predicting MS over time.
1 code implementation • 22 Feb 2019 • Bernd Taschler, Frank Dondelinger, Sach Mukherjee
In some examples, MCAP performs well even when the mean signal is entirely removed, leaving differential covariance structure in the high-dimensional space as the only signal.
1 code implementation • 3 Nov 2016 • Frank Dondelinger, Sach Mukherjee, the Alzheimer's Disease Neuroimaging Initiative
We consider high-dimensional regression over subgroups of observations.
no code implementations • NeurIPS 2010 • Dirk Husmeier, Frank Dondelinger, Sophie Lebre
Conventional dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption, which is too restrictive in many practical applications.