25 citations · 29 across the 3 of their papers we have counts for
3 papers
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
Alkis Gotovos, Rebekka Burkholz, John Quackenbush +1
Modeling the time evolution of discrete sets of items (e.g., genetic mutations) is a fundamental problem in many biomedical applications. We approach this problem through the lens…
DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks
Katherine H. Shutta, Deborah Weighill, Rebekka Burkholz +5
The increasing quantity of multi-omics data, such as methylomic and transcriptomic profiles, collected on the same specimen, or even on the same cell, provide a unique opportunity…
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently
Rebekka Burkholz, John Quackenbush
Cascade models are central to understanding, predicting, and controlling epidemic spreading and information propagation. Related optimization, including influence maximization, mod…