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20112026
most citedNetwork inference and biological dynamics

85 citations · 253 across the 29 of their papers we have counts for

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5 papers · 1 filter

stat.AP2016★ 2 cited

High-dimensional regression over disease subgroups

Frank Dondelinger, Sach Mukherjee, The Alzheimer's Disease Neuroimaging Initiative

We consider high-dimensional regression over subgroups of observations. Our work is motivated by biomedical problems, where disease subtypes, for example, may differ with respect t…

stat.AP2014★ 7 cited

Causal network inference using biochemical kinetics

C. J. Oates, F. Dondelinger, N. Bayani +3

Network models are widely used as structural summaries of biochemical systems. Statistical estimation of networks is usually based on linear or discrete models. However, the dynami…

stat.AP2013★ 11 cited

Network Inference Using Steady State Data and Goldbeter-Koshland Kinetics

Chris J Oates, Bryan T Hennessy, Yiling Lu +2

Network inference approaches are widely used to shed light on regulatory interplay between molecular players such as genes and proteins. Biochemical processes underlying networks o…

stat.AP2012★ 2 cited

On the relationship between ODEs and DBNs

Chris. J. Oates, Steven. M. Hill, Sach Mukherjee

Recently, Li et al. (Bioinformatics 27(19), 2686-91, 2011) proposed a method, called Differential Equation-based Local Dynamic Bayesian Network (DELDBN), for reverse engineering ge…

stat.AP2011★ 85 cited

Network inference and biological dynamics

Chris. J. Oates, Sach Mukherjee

Network inference approaches are now widely used in biological applications to probe regulatory relationships between molecular components such as genes or proteins. Many methods h…