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George Stephanopoulos

Showing results (1-10 of 14) with videos related to

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Bioinformatics (Oxford, England)|March 3, 2004
Inverse modeling using multi-block PLS to determine the environmental conditions that provide optimal cellular functionDaehee Hwang, George Stephanopoulos, Christina Chan
The Journal of Chemical Physics|May 16, 2012
A master-equation approach to simulate kinetic traps during directed self-assemblyRichard Lakerveld, George Stephanopoulos, Paul I Barton
The Journal of Chemical Physics|July 13, 2005
Topological coarse graining of polymer chains using wavelet-accelerated Monte Carlo. II. Self-avoiding chainsAhmed E Ismail, George Stephanopoulos, Gregory C Rutledge
The Journal of Chemical Physics|July 13, 2005
Topological coarse graining of polymer chains using wavelet-accelerated Monte Carlo. I. Freely jointed chainsAhmed E Ismail, Gregory C Rutledge, George Stephanopoulos
Bioinformatics (Oxford, England)|September 10, 2002
Determination of minimum sample size and discriminatory expression patterns in microarray dataDaehee Hwang, William A Schmitt, George Stephanopoulos, et al.
Biotechnology and Bioengineering|June 7, 2007
Linking physiology and transcriptional profiles by quantitative predictive modelsJatin Misra, Ilias Alevizos, Daehee Hwang, et al.
Bioinformatics (Oxford, England)|August 15, 2002
Mapping physiological states from microarray expression measurementsGregory Stephanopoulos, Daehee Hwang, William A Schmitt, et al.
Biotechnology Progress|April 5, 2003
Application of multivariate analysis to optimize function of cultured hepatocytesChristina Chan, Daehee Hwang, Gregory N Stephanopoulos, et al.
Journal of Neuroimmunology|April 15, 2004
Microarray detection of E2F pathway activation and other targets in multiple sclerosis peripheral blood mononuclear cellsAntonio H Iglesias, Sandra Camelo, Daehee Hwang, et al.
Bioinformatics (Oxford, England)|January 31, 2004
Identification of optimal classification functions for biological sample and state discrimination from metabolic profiling dataKyongbum Lee, Daehee Hwang, Tadaaki Yokoyama, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|March 3, 2004
Inverse modeling using multi-block PLS to determine the environmental conditions that provide optimal cellular functionDaehee Hwang, George Stephanopoulos, Christina Chan
The Journal of Chemical Physics|May 16, 2012
A master-equation approach to simulate kinetic traps during directed self-assemblyRichard Lakerveld, George Stephanopoulos, Paul I Barton
The Journal of Chemical Physics|July 13, 2005
Topological coarse graining of polymer chains using wavelet-accelerated Monte Carlo. II. Self-avoiding chainsAhmed E Ismail, George Stephanopoulos, Gregory C Rutledge
The Journal of Chemical Physics|July 13, 2005
Topological coarse graining of polymer chains using wavelet-accelerated Monte Carlo. I. Freely jointed chainsAhmed E Ismail, Gregory C Rutledge, George Stephanopoulos
Bioinformatics (Oxford, England)|September 10, 2002
Determination of minimum sample size and discriminatory expression patterns in microarray dataDaehee Hwang, William A Schmitt, George Stephanopoulos, et al.
Biotechnology and Bioengineering|June 7, 2007
Linking physiology and transcriptional profiles by quantitative predictive modelsJatin Misra, Ilias Alevizos, Daehee Hwang, et al.
Bioinformatics (Oxford, England)|August 15, 2002
Mapping physiological states from microarray expression measurementsGregory Stephanopoulos, Daehee Hwang, William A Schmitt, et al.
Biotechnology Progress|April 5, 2003
Application of multivariate analysis to optimize function of cultured hepatocytesChristina Chan, Daehee Hwang, Gregory N Stephanopoulos, et al.
Journal of Neuroimmunology|April 15, 2004
Microarray detection of E2F pathway activation and other targets in multiple sclerosis peripheral blood mononuclear cellsAntonio H Iglesias, Sandra Camelo, Daehee Hwang, et al.
Bioinformatics (Oxford, England)|January 31, 2004
Identification of optimal classification functions for biological sample and state discrimination from metabolic profiling dataKyongbum Lee, Daehee Hwang, Tadaaki Yokoyama, et al.
Pageof 2