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Steven M. Hill
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2020 – today
- 2021
- [j7]James Howlett, Steven M. Hill, Craig W. Ritchie, Brian D. M. Tom:
Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer's Dementia Longitudinal Cohort. Frontiers Big Data 4: 676168 (2021) - 2020
- [j6]Fan Wang, Sach Mukherjee, Sylvia Richardson, Steven M. Hill
:
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking. Stat. Comput. 30(3): 697-719 (2020)
2010 – 2019
- 2019
- [j5]Steven M. Hill, Chris J. Oates, Duncan A. J. Blythe, Sach Mukherjee:
Causal Learning via Manifold Regularization. J. Mach. Learn. Res. 20: 127:1-127:32 (2019) - 2017
- [j4]Nicolas Städler, Frank Dondelinger
Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study. Bioinform. 33(18): 2890-2896 (2017) - 2015
- [i2]Thomas Cokelaer
DREAMTools: a Python package for scoring collaborative challenges. F1000Research 4: 1030 (2015) - 2013
- [i1]Steven M. Hill, Sach Mukherjee:
Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation. CoRR abs/1301.2194 (2013) - 2012
- [j3]Steven M. Hill
Bayesian Inference of Signaling Network Topology in a Cancer Cell Line. Bioinform. 28(21): 2804-2810 (2012) - [j2]Steven M. Hill
Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology. BMC Bioinform. 13: 94 (2012) - 2011
- [j1]Sach Mukherjee, Steven M. Hill
Network clustering: probing biological heterogeneity by sparse graphical models. Bioinform. 27(7): 994-1000 (2011) - 2010
- [c1]Daniel James Barker, Steven M. Hill
MC4: A Tempering Algorithm for Large-Sample Network Inference. PRIB 2010: 431-442
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