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Layne T Watson

Showing results (1-10 of 33) with videos related to

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HFSP Journal|August 4, 2009
Analysis of the fitness effect of compensatory mutationsLiqing Zhang, Layne T Watson
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|September 7, 2007
Note on the computation of critical effective population sizesLiqing Zhang, Layne T Watson
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 27, 2008
Semisupervised learning of hidden Markov models via a homotopy methodShihao Ji, Layne T Watson, Lawrence Carin
International Journal of Computational Biology and Drug Design|January 22, 2010
Adaptive aggregation method for the Chemical Master EquationJingwei Zhang, Layne T Watson, Yang Cao
BMC Bioinformatics|January 11, 2014
Quantitative prediction of the effect of genetic variation using hidden Markov modelsMingming Liu, Layne T Watson, Liqing Zhang
Human Genomics|July 31, 2015
Predicting the combined effect of multiple genetic variantsMingming Liu, Layne T Watson, Liqing Zhang
BMC Bioinformatics|November 1, 2015
HMMvar-func: a new method for predicting the functional outcome of genetic variantsMingming Liu, Layne T Watson, Liqing Zhang
The Journal of Chemical Physics|February 10, 2011
Stiffness detection and reduction in discrete stochastic simulation of biochemical systemsYang Pu, Layne T Watson, Yang Cao
BMC Bioinformatics|June 4, 2011
A network of SCOP hidden Markov models and its analysisLiqing Zhang, Layne T Watson, Lenwood S Heath
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 24, 2005
Parameter estimation for a mathematical model of the cell cycle in frog eggsJason W Zwolak, John J Tyson, Layne T Watson
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
HFSP Journal|August 4, 2009
Analysis of the fitness effect of compensatory mutationsLiqing Zhang, Layne T Watson
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|September 7, 2007
Note on the computation of critical effective population sizesLiqing Zhang, Layne T Watson
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 27, 2008
Semisupervised learning of hidden Markov models via a homotopy methodShihao Ji, Layne T Watson, Lawrence Carin
International Journal of Computational Biology and Drug Design|January 22, 2010
Adaptive aggregation method for the Chemical Master EquationJingwei Zhang, Layne T Watson, Yang Cao
BMC Bioinformatics|January 11, 2014
Quantitative prediction of the effect of genetic variation using hidden Markov modelsMingming Liu, Layne T Watson, Liqing Zhang
Human Genomics|July 31, 2015
Predicting the combined effect of multiple genetic variantsMingming Liu, Layne T Watson, Liqing Zhang
BMC Bioinformatics|November 1, 2015
HMMvar-func: a new method for predicting the functional outcome of genetic variantsMingming Liu, Layne T Watson, Liqing Zhang
The Journal of Chemical Physics|February 10, 2011
Stiffness detection and reduction in discrete stochastic simulation of biochemical systemsYang Pu, Layne T Watson, Yang Cao
BMC Bioinformatics|June 4, 2011
A network of SCOP hidden Markov models and its analysisLiqing Zhang, Layne T Watson, Lenwood S Heath
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 24, 2005
Parameter estimation for a mathematical model of the cell cycle in frog eggsJason W Zwolak, John J Tyson, Layne T Watson
Pageof 4