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ORCIDPeter E. Larsen
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2010 – 2019
- 2019
[c8]Maximillian Fornitz Vording, Peter O. Okeyo
, Juan J. R. Guillamón, Peter E. Larsen, Mikkel N. Schmidt, Tommy S. Alstrøm:
A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators. MLSP 2019: 1-6- 2016
- [j5]Maksymilian Kurek, Frederik K. Larsen, Peter E. Larsen, Silvan Schmid, Anja Boisen, Stephan Sylvest Keller:
Nanomechanical Pyrolytic Carbon Resonators: Novel Fabrication Method and Characterization of Mechanical Properties. Sensors 16(7): 1097 (2016) - 2014
- [c7]Peter E. Larsen, Frank R. Collart, Yang Dai:
Using metabolomic and transportomic modeling and machine learning to identify putative novel therapeutic targets for antibiotic resistant Pseudomonad infections. EMBC 2014: 314-317 - 2011
- [j4]Peter E. Larsen, Avinash Sreedasyam, Geetika Trivedi, Gopi K. Podila, Leland J. Cseke, Frank Collart:
Using next generation transcriptome sequencing to predict an ectomycorrhizal metabolome. BMC Syst. Biol. 5: 70 (2011) - [c6]Peter E. Larsen, Frank Collart, Folker Meyer, Jack A. Gilbert:
Predicted Relative Metabolomic Turnover - Predicting Changes in the Environmental Metabolome from the Metagenome. BIOINFORMATICS 2011: 337-345 - 2010
- [j3]Peter E. Larsen, Frank Collart, Yang Dai:
Incorporating Network Topology Improves Prediction of Protein Interaction Networks from Transcriptomic Data. Int. J. Knowl. Discov. Bioinform. 1(3): 1-19 (2010)
2000 – 2009
- 2009
- [c5]Peter E. Larsen, Yang Dai:
Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks. ISBRA 2009: 40-51 - 2008
- [j2]Guanrao Chen, Peter E. Larsen, Eyad Almasri, Yang Dai:
Rank-based edge reconstruction for scale-free genetic regulatory networks. BMC Bioinform. 9 (2008) - [c4]Eyad Almasri, Peter E. Larsen, Guanrao Chen, Yang Dai:
Incorporating Literature Knowledge in Bayesian Network for Inferring Gene Networks with Gene Expression Data. ISBRA 2008: 184-195 - [c3]Peter E. Larsen, Eyad Almasri, Guanrao Chen, Yang Dai:
Incorporating Knowledge of Topology Improves Reconstruction of Interaction Networks from Microarray Data. ISBRA 2008: 434-443 - 2007
- [j1]Peter E. Larsen, Eyad Almasri, Guanrao Chen, Yang Dai:
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments. BMC Bioinform. 8 (2007) - 2006
- [c2]Guanrao Chen, Peter E. Larsen, Eyad Almasri, Yang Dai:
Sample Scale-Free Gene Regulatory Network Using Gene Ontology. EMBC 2006: 5523-5526 - [c1]Peter E. Larsen, Eyad Almasri, Guanrao Chen, Yang Dai:
Correlated Discretized Expression Score: A Method for Identifying Gene Interaction Networks from Time Course Microarray Expression Data. EMBC 2006: 5842-5845
Coauthor Index
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