Steven M. Hill

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Model Averaging for Biological Networks with Prior Information

Terence P. Speed, Sach Mukherjee, Steven M. Hill, 2010 .

Sparse graphical models for cancer signalling

Steven M. Hill, 2012 .

Bayesian Inference of Signaling Network Topology in a Cancer Cell Line

Terence P. Speed, Paul T. Spellman, Joe W. Gray, 2012, Bioinform..

Causal Learning via Manifold Regularization.

Duncan A. J. Blythe, Sach Mukherjee, Steven M. Hill, 2019 .

Network clustering: probing biological heterogeneity by sparse graphical models

Sach Mukherjee, Steven M. Hill, S. Hill, 2011, Bioinform..

Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology

Paul T. Spellman, Joe W. Gray, Wen-Lin Kuo, 2011, BMC Bioinformatics.

Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation pdf

Sach Mukherjee, Steven M. Hill, S. Hill, 2013, ArXiv.

Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study

Rehan Akbani, Sach Mukherjee, Frank Dondelinger, 2017, Bioinform..

MC4: A Tempering Algorithm for Large-Sample Network Inference

Sach Mukherjee, Steven M. Hill, Daniel James Barker, 2010, PRIB.