A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data

1 code implementation • 3 Mar 2021 • Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam Barnaghi

A Bayesian approach to impute missing values and creating augmented samples in high dimensional healthcare data is proposed in this work.

Bayesian Inference Imputation

A dynamical system model for predicting gene expression from the epigenome

1 code implementation • 3 Aug 2020 • James Brunner, Jacob Kim, Timothy Downing, Eric Mjolsness, Kord M. Kober

Despite active research, studies to date have focused on using statistical models to predict gene expression from methylation data.