Ekaterina M. Myasnikova

发表

Spatio-Temporal Registration of the Expression Patterns of Drosophila Segmentation Genes

John Reinitz, Maria Samsonova, David Kosman, 1999, ISMB.

Mechanisms of gap gene expression canalization in the Drosophila blastoderm

John Reinitz, Maria Samsonova, Manu, 2011, BMC Systems Biology.

Robustness of expression pattern formation due to dynamic equilibrium in gap gene system of an early Drosophila embryo

Alexander V. Spirov, Ekaterina M. Myasnikova, E. Myasnikova, 2018, Biosyst..

Techniques from evolutionary computation to implement as experimental approaches in synthetic biology: tests in silico

Alexander V. Spirov, Ekaterina M. Myasnikova, E. Myasnikova, 2019, GECCO.

A method for two-dimensional registration and construction of the two-dimensional atlas of gene expression patterns in situ

John Reinitz, Maria Samsonova, Andrei Pisarev, 2002, Silico Biol..

Estimation of errors introduced by confocal imaging into the data on segmentation gene expression in Drosophila

John Reinitz, Svetlana Surkova, Maria Samsonova, 2009, Bioinform..

Registration of the expression patterns of Drosophila segmentation genes by two independent methods

John Reinitz, Maria Samsonova, Konstantin Kozlov, 2001, Bioinform..

Statistical method for estimation of the predictive power of a gene circuit model

Konstantin Kozlov, Ekaterina M. Myasnikova, 2014, J. Bioinform. Comput. Biol..

Classification of the Images of Gene Expression Patterns Using Neural Networks Based on Multi-valued Neurons

Igor N. Aizenberg, Maria Samsonova, Ekaterina M. Myasnikova, 2001, IWANN.

Quantitative analysis of the dynamics of maternal gradients of the early Drosophila embryo

Alexander V. Spirov, Ekaterina M. Myasnikova, Victoria Yu. Samuta, 2019, 1909.00404.

Master equation simulation analysis of immunostained Bicoid morphogen gradient

John Reinitz, Ekaterina M. Myasnikova, Yu Feng Wu, 2007, BMC Systems Biology.

Sequential construction of a model for modular gene expression control, applied to spatial patterning of the Drosophila gene hunchback

David M. Holloway, Alexander V. Spirov, Ekaterina M. Myasnikova, 2016, J. Bioinform. Comput. Biol..

Fast redundant dyadic wavelet transform in application to spatial registration of the expression patterns of Drosophila segmentation genes

John Reinitz, Maria Samsonova, Konstantin Kozlov, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Linguistic modelling of gene regulation: Translation from the language of experiments to the language of modelling

Alexander V. Spirov, Ekaterina M. Myasnikova, E. Myasnikova, 2019, ICT express.

Support vector regression applied to the determination of the developmental age of a Drosophila embryo from its segmentation gene expression patterns

John Reinitz, Maria Samsonova, Ekaterina M. Myasnikova, 2002, ISMB.

A regression system for estimation of errors introduced by confocal imaging into gene expression data in situ

Svetlana Surkova, Maria Samsonova, Andrei Pisarev, 2011, BMC Bioinformatics.

Relative sensitivity analysis of the predictive properties of sloppy models

Alexander V. Spirov, Ekaterina M. Myasnikova, E. Myasnikova, 2018, J. Bioinform. Comput. Biol..

Estimation of Errors in Gene Expression Data Introduced by Diffractive Blurring of Confocal Images

John Reinitz, Svetlana Surkova, Maria Samsonova, 2009, 2009 13th International Machine Vision and Image Processing Conference.

Modeling of Gap Gene Expression in Drosophila Kruppel Mutants

John Reinitz, Svetlana Surkova, Maria Samsonova, 2012, PLoS Comput. Biol..

ImageServer, a Tool for On-line Processing and Analysis of Biological Images

John Reinitz, Maria Samsonova, Andrei Pisarev, 2005, J. Integr. Bioinform..

Application of the Neural Networks Based on Multi-valued Neurons to Classification of the Images of Gene Expression Patterns

Igor N. Aizenberg, John Reinitz, Maria Samsonova, 2001, Fuzzy Days.

Quantitative Analysis of the Dynamics of Maternal Gradients in the Early Drosophila Embryo

Alexander V. Spirov, Ekaterina M. Myasnikova, Marat A. Sabirov, 2021, J. Comput. Biol..