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Found 5 papers, 2 papers with code
Longitudinal prediction of DNA methylation to forecast epigenetic outcomes
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.
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones
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.
Model-based clustering in very high dimensions via adaptive projections
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.
High-dimensional regression over disease subgroups
We consider high-dimensional regression over subgroups of observations.
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
Conventional dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption, which is too restrictive in many practical applications.
