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Mayetri Gupta

Showing results (1-10 of 21) with videos related to

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Institute of Mathematical Statistics Collections|June 22, 2010
Model selection and sensitivity analysis for sequence pattern modelsMayetri Gupta
Biostatistics (Oxford, England)|January 4, 2011
A continuous-index Bayesian hidden Markov model for prediction of nucleosome positioning in genomic DNARitendranath Mitra, Mayetri Gupta
Biometrics|September 11, 2007
Generalized hierarchical markov models for the discovery of length-constrained sequence features from genome tiling arraysMayetri Gupta
Statistical Applications in Genetics and Molecular Biology|April 14, 2012
A generalized hidden Markov model for determining sequence-based predictors of nucleosome positioningCarlee Moser, Mayetri Gupta
Proceedings of the National Academy of Sciences of the United States of America|May 11, 2005
De novo cis-regulatory module elicitation for eukaryotic genomesMayetri Gupta, Jun S Liu
Statistica Sinica|September 28, 2011
An Information Matrix Prior for Bayesian Analysis in Generalized Linear Models with High Dimensional DataMayetri Gupta, Joseph G Ibrahim
Biostatistics (Oxford, England)|April 3, 2007
A temporal hidden Markov regression model for the analysis of gene regulatory networksMayetri Gupta, Pingping Qu, Joseph G Ibrahim
Journal of Applied Statistics|July 23, 2021
Bayesian modeling of factorial time-course data with applications to a bone aging gene expression studyJoseph Wu, Mayetri Gupta, Amira I Hussein, et al.
Biometrics|February 13, 2009
A Bayesian hidden Markov model for motif discovery through joint modeling of genomic sequence and ChIP-chip dataJonathan A L Gelfond, Mayetri Gupta, Joseph G Ibrahim
Current Opinion in Genetics & Development|March 1, 2006
Regulation of nucleosome stability as a mediator of chromatin functionPaul G Giresi, Mayetri Gupta, Jason D Lieb
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Institute of Mathematical Statistics Collections|June 22, 2010
Model selection and sensitivity analysis for sequence pattern modelsMayetri Gupta
Biostatistics (Oxford, England)|January 4, 2011
A continuous-index Bayesian hidden Markov model for prediction of nucleosome positioning in genomic DNARitendranath Mitra, Mayetri Gupta
Biometrics|September 11, 2007
Generalized hierarchical markov models for the discovery of length-constrained sequence features from genome tiling arraysMayetri Gupta
Statistical Applications in Genetics and Molecular Biology|April 14, 2012
A generalized hidden Markov model for determining sequence-based predictors of nucleosome positioningCarlee Moser, Mayetri Gupta
Proceedings of the National Academy of Sciences of the United States of America|May 11, 2005
De novo cis-regulatory module elicitation for eukaryotic genomesMayetri Gupta, Jun S Liu
Statistica Sinica|September 28, 2011
An Information Matrix Prior for Bayesian Analysis in Generalized Linear Models with High Dimensional DataMayetri Gupta, Joseph G Ibrahim
Biostatistics (Oxford, England)|April 3, 2007
A temporal hidden Markov regression model for the analysis of gene regulatory networksMayetri Gupta, Pingping Qu, Joseph G Ibrahim
Journal of Applied Statistics|July 23, 2021
Bayesian modeling of factorial time-course data with applications to a bone aging gene expression studyJoseph Wu, Mayetri Gupta, Amira I Hussein, et al.
Biometrics|February 13, 2009
A Bayesian hidden Markov model for motif discovery through joint modeling of genomic sequence and ChIP-chip dataJonathan A L Gelfond, Mayetri Gupta, Joseph G Ibrahim
Current Opinion in Genetics & Development|March 1, 2006
Regulation of nucleosome stability as a mediator of chromatin functionPaul G Giresi, Mayetri Gupta, Jason D Lieb
Pageof 3