Patrice Koehl, Ph.D.

Research Interests

• New algorithms for clustering post-genomic data
• Powerful geometric methods for processing image data and for comparisons of 3D-images in a high-throughput manner
• Efficient and robust solvers of partial differential equations to understand the solvation and thermodynamics of drug targets

Selected Works

• M. Carlsen, P. Koehl, and P. Røgen. On the importance of the distance measures used to train and test knowledge-based potentials for proteins PLoS One, (2014: in press). [ bib ]
• J. Li and P. Koehl 3D representations of amino acids - applications to protein sequence comparison and classification Comp. Struct. Biotech. J., (2014: in press). [ bib ]
• C.-P. Chen, H. Fushing, R. Atwill, and P. Koehl biDCG: A new method for discovering global features of DNA microarray data via an iterative re-clustering procedure PLoS One, 9:e102445 2014. [ bib ]
• H. Fushing, C. Chen, S.H. Liu, and P. Koehl Bootstrapping on undirected binary networks via statistical mechanics J. Stat. Phys. 156:853-862, 2014. [ bib ]
• V. Weinreb, L. Li, S.N. Chandrasekaran, P. Koehl, M. Delarue, and C.W. Carter. Domain motion sensed by the d1 switch, a remote dynamic packing motif. J. Biol. Chem., 289:4367-4376, 2014. [ bib ]
• P. Koehl and J. Hass. Automatic alignment of genus-zero surfaces. IEEE Trans. Pattern Anal. Mach. Intell., 36:466-478, 2014. [ bib ]