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Peter A. DiMaggio
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2020 – today
- 2020
- [j7]Harry J. Whitwell
, Peter A. DiMaggio Jr.:
HiLight-PTM: an online application to aid matching peptide pairs with isotopically labelled PTMs. Bioinform. 36(3): 938-939 (2020)
2010 – 2019
- 2019
- [p1]Angelo Lucia, Peter A. DiMaggio:
A Multi-Scale Computational Approach to Understanding Cancer Metabolism. Data Science for Healthcare 2019: 327-345 - 2018
- [j6]Angelo Lucia, Peter A. DiMaggio, Diego Alonso-Martinez:
Metabolic pathway analysis using a nash equilibrium approach. J. Glob. Optim. 71(3): 537-550 (2018) - 2017
- [c2]Angelo Lucia, Edward Thomas, Peter A. DiMaggio:
On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis. MOD 2017: 88-99 - 2016
- [c1]Angelo Lucia, Peter A. DiMaggio:
A Nash Equilibrium Approach to Metabolic Network Analysis. MOD 2016: 45-58 - 2010
- [j5]Peter A. DiMaggio Jr.
, Scott R. McAllister, Christodoulos A. Floudas, Xiao-Jiang Feng, Joshua D. Rabinowitz, Herschel Rabitz
:
A network flow model for biclustering via optimal re-ordering of data matrices. J. Glob. Optim. 47(3): 343-354 (2010)
2000 – 2009
- 2009
- [j4]Scott R. McAllister, Peter A. DiMaggio Jr.
, Christodoulos A. Floudas:
Mathematical modeling and efficient optimization methods for the distance-dependent rearrangement clustering problem. J. Glob. Optim. 45(1): 111-129 (2009) - [r1]Peter A. DiMaggio Jr., Christodoulos A. Floudas:
Peptide Identification via Mixed-Integer Optimization. Encyclopedia of Optimization 2009: 2930-2938 - 2008
- [j3]Peter A. DiMaggio Jr.
, Scott R. McAllister, Christodoulos A. Floudas, Xiao-Jiang Feng, Joshua D. Rabinowitz
, Herschel Rabitz
:
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies. BMC Bioinform. 9 (2008) - 2005
- [j2]Angelo Lucia, Peter A. DiMaggio
, Meghan L. Bellows, Leah M. Octavio:
The phase behavior of n-alkane systems. Comput. Chem. Eng. 29(11-12): 2363-2379 (2005) - 2004
- [j1]Angelo Lucia, Peter A. DiMaggio Jr.
, P. Depa:
A Geometric Terrain Methodology for Global Optimization. J. Glob. Optim. 29(3): 297-314 (2004)
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