Peter Larsen

Bldg: 202 Room: A321 E-mail: plarsen@anl.gov Fax: 630-252-9155

> Education:

• 2006, MS, University of Illinois at Chicago, Bioengineering
• 1993, BS, Purdue Univeristy, Biological Science

> Professional Experience:

> Research Interests:

Analysis methods for high-throughput genomic data for the functional and structural annotation of genomes, high-throughput expression analysis, the construction of biological interaction networks, and novel computational approaches to systems biology.

> Research Group:

• Experimental Annotation of Function

> Publications:

1. Kedar Kulkarni, Peter Larsen and Andreas A. Linninger, “Assessing chronic liver toxicity based on relative gene expression data”, Journal of Theoretical Biology (2008), doi:10.1016/j.jtbi.2008.05.032.
2. Peter Larsen, Eyad Almasri, Guanrao Chen and Yang Dai,” Incorporating Knowledge of Topology Improves Reconstruction of Interaction Networks from Microarray Data”, Lecture Notes in Bioinformatics, Vol. 4983 (eds.by I.I. Mandoiu, Raj Sunderraman, and A. Xelikovsky), Springer Verlag, pp. 434-443, 2008.
3. Eyad Almasri, Peter Larsen, Guanrao Chen and Yang Dai, “Incorporating Literature Knowledge in Baysian Network for Inferring Gene Networks with Gene Expression Data”, Lecture Notes in Bioinformatics, Vol. 4983 (eds. by I.I. Mandoiu, Raj Sunderraman, and A. Xelikovsky), Springer Verlag, pp. 184-195, 2008.
4. Guanrao Chen, Peter Larsen, Eyad Almasri, Yang Dai, “Rank-based edge reconstruction for scale-free genetic regulatory networks”, BMC Bioinformatics (2008), 9:75.
5. Peter 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 Bioinformatics (2007), 8:317. [HIGHLY ACCESSED]
6. Peter Larsen, E. Almasri, G. Chen and Y. Dai, "Correlated discretized expression score: a method for identifying gene interaction networks from time course microarray expression data" Proceedings of the 28th International Conference of IEEE Engineering in Medicine and Biology Society (EMBS) (2006). pp. 5842-5845.
7. G. Chen, P. Larsen, E. Almasri and Y. Dai, "Sample scale-free gene regulatory network using gene ontology", Proceedings of the 28th International Conference of IEEE Engineering in Medicine and Biology Society (EMBS) (2006). pp.5523-5526.
8. Robert Folberg, Zarema Arbieva, Jonas Moses, Amin Hayee, Tone Sandal, ShriHari Kadkol, Amy Lin, Klara Valyi-Nagy, Suman Setty, Lu Leach, Patricia Chevez-Barrios, Peter Larsen, Dibyen Majumdar, Jacob Pe'er, Andrew Maniotis. “The generation of vasculogenic mimicry patterns dampens the invasive melanoma cell genotype and phenotype”. Am J Pathol (2006), 166:1187-203.
9. Hessler, PE, PE Larsen, AI Constantinou, KH Schram, and JM Weber. “Isolation of isoflavones from soy-based fermentations of the erythromycin-producing bacterium Saccharopolyspora erythraea”.  Appl. Microbiol. Biotechnol.  1997 47(4) P398-404.

Book Chapters

• Yang Dai, Eyad Almasri, Peter Larsen, Guanrao Chen, Structure Learning of Genetic Regulatory Networks Based on Knowledge Derived from Literature and Microarray Gene Expression Measurements, Book Chapter, Computational Methodologies in Gene Regulatory Networks ,(S. Das, D. Caragea, W. H. Hsu, S. M. Welch eds.), IGI Global, in press.

Patents Issued

• J Mark Weber, Peter E. Larsen, Mihn B. Luu, and Paul  Hessler.  1998.  Method and Composition for Enhancing Erythromycin Production.  U.S. Serial # 08/852,401.