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John H. Miller

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2010 – today

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2012
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  - journals/bioinformatics/KangasMISGWTLM12
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Lars J. Kangas, Thomas O. Metz, Giorgis Isaac, Brian T. Schrom, Bojana Ginovska-Pangovska, Luning Wang, Li Tan, Robert R. Lewis, John H. Miller:
In silico identification software (ISIS): a machine learning approach to tandem mass spectral identification of lipids. Bioinformatics 28(13): 1705-1713 (2012)
2011
[c5]
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Brian T. Schrom, Lars J. Kangas, Bojana Ginovska-Pangovska, Thomas O. Metz, John H. Miller:
Charge Prediction of Lipid Fragments in Mass Spectrometry. ICMLA (2) 2011: 186-188
[c4]
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Arzu Gosney, John H. Miller, Ian Gorton, Christopher S. Oehmen:
An Adaptive Middleware Framework for Optimal Scheduling on Large Scale Compute Clusters. ITNG 2011: 713-718

2000 – 2009

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2007
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John H. Miller, Scott E. Page:
Complex adaptive systems - an introduction to computational models of social life. Princeton studies in complexity, Princeton Univ. Press 2007, ISBN 9780691127026, pp. I-XIX, 1-263
2004
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John H. Miller, Scott E. Page:
The standing ovation problem. Complexity 9(5): 8-16 (2004)
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John H. Miller, Scott Moser:
Communication and coordination. Complexity 9(5): 31-40 (2004)
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John H. Miller, Fang Zheng:
Large-scale simulations of cellular signaling processes. Parallel Computing 30(9-10): 1137-1149 (2004)
[c3]
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John H. Miller, Yan Fang Zheng:
Large-Scale Simulation of Eukaryotic Cell Signaling Processes. IPDPS 2004
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Joel C. Hunter, Joshua N. Adkins, Joel G. Pounds, John H. Miller:
Facilitating interpretation of mass spectrometry based proteomics data. METMBS 2004: 471-477

1980 – 1989

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1989
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John H. Miller, Stephanie Forrest:
The Dynamical Behavior of Classifier Systems. ICGA 1989: 304-310

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