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Nina Golyandina

Showing results (1-10 of 7) with videos related to

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Proceedings in Applied Mathematics and Mechanics|August 19, 2010
Dependence of accuracy of ESPRIT estimates on signal eigenvalues: the case of a noisy sum of two real exponentialsTheodore Alexandrov, Nina Golyandina, Alexey Timofeyev
Journal of Bioinformatics and Computational Biology|May 7, 2019
Noise model estimation with application to gene expressionPolina Zhornikova, Nina Golyandina, Alexander Spirov
Biomed Research International|May 7, 2015
Shaped singular spectrum analysis for quantifying gene expression, with application to the early Drosophila embryoAlex Shlemov, Nina Golyandina, David Holloway, et al.
Biomed Research International|October 24, 2015
Shaped 3D singular spectrum analysis for quantifying gene expression, with application to the early zebrafish embryoAlex Shlemov, Nina Golyandina, David Holloway, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 18, 2018
Two-Exponential Models of Gene Expression Patterns for Noisy Experimental DataTheodore Alexandrov, Nina Golyandina, David Holloway, et al.
Plos One|August 19, 2021
Quantification reveals early dynamics in Drosophila maternal gradientsAlex Shlemov, Theodore Alexandrov, Nina Golyandina, et al.
Plos Computational Biology|February 10, 2011
Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in Drosophila segmentationDavid M Holloway, Francisco J P Lopes, Luciano da Fontoura Costa, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Proceedings in Applied Mathematics and Mechanics|August 19, 2010
Dependence of accuracy of ESPRIT estimates on signal eigenvalues: the case of a noisy sum of two real exponentialsTheodore Alexandrov, Nina Golyandina, Alexey Timofeyev
Journal of Bioinformatics and Computational Biology|May 7, 2019
Noise model estimation with application to gene expressionPolina Zhornikova, Nina Golyandina, Alexander Spirov
Biomed Research International|May 7, 2015
Shaped singular spectrum analysis for quantifying gene expression, with application to the early Drosophila embryoAlex Shlemov, Nina Golyandina, David Holloway, et al.
Biomed Research International|October 24, 2015
Shaped 3D singular spectrum analysis for quantifying gene expression, with application to the early zebrafish embryoAlex Shlemov, Nina Golyandina, David Holloway, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 18, 2018
Two-Exponential Models of Gene Expression Patterns for Noisy Experimental DataTheodore Alexandrov, Nina Golyandina, David Holloway, et al.
Plos One|August 19, 2021
Quantification reveals early dynamics in Drosophila maternal gradientsAlex Shlemov, Theodore Alexandrov, Nina Golyandina, et al.
Plos Computational Biology|February 10, 2011
Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in Drosophila segmentationDavid M Holloway, Francisco J P Lopes, Luciano da Fontoura Costa, et al.
Pageof 1