Inhibition of Dengue Virus Infections in Cell Cultures and in AG129 Mice by a Small Interfering RNA Targeting a Highly Conserved Sequence von Stein, David A, Perry, Stuart T, Buck, Michael D, Oehmen, Christopher S, Fischer, Matthew A, Poore, Elizabeth, Smith, Jessica L, Lancaster, Alissa M, Hirsch, Alec J, Slifka, Mark K, Nelson, Jay A, Shresta, Sujan, Früh, Klaus

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ScalaBLAST 2.0: rapid and robust BLAST calculations on multiprocessor systems von Oehmen, Christopher S, Baxter, Douglas J

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Comparison of Probability and Likelihood Models for Peptide Identification from Tandem Mass Spectrometry Data von Cannon, William R, Jarman, Kristin H, Webb-Robertson, Bobbie-Jo M, Baxter, Douglas J, Oehmen, Christopher S, Jarman, Kenneth D, Heredia-Langner, Alejandro, Auberry, Kenneth J, Anderson, Gordon A

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SVM-HUSTLE—an iterative semi-supervised machine learning approach for pairwise protein remote homology detection von Shah, Anuj R., Oehmen, Christopher S., Webb-Robertson, Bobbie-Jo

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A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics von Webb-Robertson, Bobbie-Jo M., Cannon, William R., Oehmen, Christopher S., Shah, Anuj R., Gurumoorthi, Vidhya, Lipton, Mary S., Waters, Katrina M.

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A feature vector integration approach for a generalized support vector machine pairwise homology algorithm von Webb-Robertson, Bobbie-Jo M., Oehmen, Christopher S., Shah, Anuj R.

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Advanced Computing is at the Forefront of a New "Moonshot" Revolutionizing the North American Power Grid von Oehmen, Christopher S., Peles, Slaven, Swirydowicz, Katarzyna, Petra, Cosmin G., Abhyankar, Shrirang G., Jones, Wesley, Reynolds, Matthew, Rutherford, Robert C.

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PQuad—a visual analysis platform for proteomic data exploration of microbial organisms von Webb-Robertson, Bobbie-Jo M., Peterson, Elena S., Singhal, Mudita, Klicker, Kyle R., Oehmen, Christopher S., Adkins, Joshua N., Havre, Susan L.

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Integrating subcellular location for improving machine learning models of remote homology detection in eukaryotic organisms von Shah, Anuj R., Oehmen, Christopher S., Harper, Jill, Webb-Robertson, Bobbie-Jo M.

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An efficient machine learning approach to low-complexity filtering in biological sequences von Barber, C. A., Oehmen, C. S.

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Mathematical Model of the Rapidly Activating Delayed Rectifier Potassium Current IKr in Rabbit Sinoatrial Node von OEHMEN, CHRISTOPHER S., GILES, WAYNE R., DEMIR, SEMAHAT S.

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Mathematical model of the rapidly activating delayed rectifier potassium current I(Kr) in rabbit sinoatrial node von Oehmen, Christopher S, Giles, Wayne R, Demir, Semahat S

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Biosequence-based approach to analyzing binaries von Oehmen, Christopher S, Phillips, Aaron R, Peterson, Elena S, Curtis, Darren S

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BIOSEQUENCE-BASED APPROACH TO ANALYZING BINARIES von Oehmen, Christopher S, Phillips, Aaron R, Peterson, Elena S, Curtis, Darren S

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Biosequence-based approach to analyzing binaries von Oehmen, Christopher S, Phillips, Aaron R, Peterson, Elena S, Curtis, Darren S

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BIOSEQUENCE-BASED APPROACH TO ANALYZING BINARIES von CURTIS, Darren S, OEHMEN, Christopher S, PHILLIPS, Aaron R, PETERSON, Elena S

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Directional Bias and Pheromone for Discovery and Coverage on Networks von Fink, G. A., Berenhaut, K. S., Oehmen, C. S.

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BIOSEQUENCE-BASED APPROACH TO ANALYZING BINARIES von CURTIS, Darren S, OEHMEN, Christopher S, PHILLIPS, Aaron R, PETERSON, Elena S

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High-throughput computation of pairwise sequence similarities for multiple genome comparisons using ScalaBLAST von Shah, A.R., Markowitz, V.M., Oehmen, C.S.

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Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics von Webb-Robertson, B.-J.M., Oehmen, C.S., Cannon, W.R.

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