MC4: A Tempering Algorithm for Large-Sample Network Inference. - Daniel James Barker; Steven M. Hill; Sach Mukherjee (PRIB, 2010)

Network clustering: probing biological heterogeneity by sparse graphical models. - Sach Mukherjee; Steven M. Hill (Bioinform., 2011)

Bayesian Inference of Signaling Network Topology in a Cancer Cell Line. - Steven M. Hill; Yiling Lu; Jennifer Molina; Laura Heiser; Paul T. Spellman; Terence P. Speed; Joe W. Gray; Gordon B. Mills; Sach Mukherjee (Bioinform., 2012)

Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology. - Steven M. Hill; Richard M. Neve; Nora Bayani; Wen-Lin Kuo; Safiyyah Ziyad; Paul T. Spellman; Joe W. Gray; Sach Mukherjee (BMC Bioinform., 2012)

Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation - Steven M. Hill; Sach Mukherjee (CoRR, 2013)

DREAMTools: a Python package for scoring collaborative challenges. - Thomas Cokelaer; Mukesh Bansal; Christopher Bare; Erhan Bilal; Brian M. Bot; Elias Chaibub Neto; Federica Eduati; Mehmet Gönen; Steven M. Hill; Bruce R. Hoff; Jonathan R. Karr; Robert Küffner; et al. (F1000Research, 2015)

Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study. - Nicolas Städler; Frank Dondelinger; Steven M. Hill; Rehan Akbani; Yiling Lu; Gordon B. Mills; Sach Mukherjee (Bioinform., 2017)

Causal Learning via Manifold Regularization. - Steven M. Hill; Chris J. Oates; Duncan A. J. Blythe; Sach Mukherjee (J. Mach. Learn. Res., 2019)

High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking. - Fan Wang; Sach Mukherjee; Sylvia Richardson; Steven M. Hill (Stat. Comput., 2020)

Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer's Dementia Longitudinal Cohort. - James Howlett; Steven M. Hill; Craig W. Ritchie; Brian D. M. Tom (Frontiers Big Data, 2021)