What Can Causal Networks Tell Us about Metabolic Pathways? - Rachael Hageman Blair; Daniel J. Kliebenstein; Gary A. Churchill (PLoS Comput. Biol., 2012)

Evaluating performance of link prediction in scale-free evolving networks and a Facebook community. - Laurie Grieshober; Rachael Hageman Blair (Soc. Netw. Anal. Min., 2014)

Probabilistic graphical models in modern social network analysis. - Alireza Farasat; Alexander G. Nikolaev; Sargur N. Srihari; Rachael Hageman Blair (Soc. Netw. Anal. Min., 2015)

A Framework for Attribute-Based Community Detection with Applications to Integrated Functional Genomics. - Han Yu 007; Rachael Hageman Blair (PSB, 2016)

Integration of probabilistic regulatory networks into constraint-based models of metabolism with applications to Alzheimer's disease. - Han Yu 007; Rachael Hageman Blair (BMC Bioinform., 2019)

Bootstrapping estimates of stability for clusters, observations and model selection. - Han Yu 007; Brian E. Chapman; Arianna Di Florio; Ellen Eischen; David Gotz; Mathews Jacob; Rachael Hageman Blair (Comput. Stat., 2019)

A framework for stability-based module detection in correlation graphs. - Mingmei Tian; Rachael Hageman Blair; Lina Mu; Matthew Bonner; Richard Browne; Han Yu 007 (Stat. Anal. Data Min., 2021)

Out-of-bag stability estimation for k-means clustering. - Tianmou Liu; Han Yu 007; Rachael Hageman Blair (Stat. Anal. Data Min., 2022)