Lunina Nataliya Leonidovna

Publications in Math-Net.Ru

1. Mask-based approach in phasing and restoring of single-particle diffraction data
   
   Mat. Biolog. Bioinform., 15:Suppl. (2020),  1–20
2. Mask-based approach in phasing and restoring of single-particle diffraction data
   
   Mat. Biolog. Bioinform., 15:1 (2020),  57–72
3. Single particle study by X-ray diffraction: crystallographic approach
   
   Mat. Biolog. Bioinform., 14:Suppl. (2019),  44–61
4. Single particle study by X-ray diffraction: crystallographic approach
   
   Mat. Biolog. Bioinform., 14:2 (2019),  500–516
5. The use of connected masks for reconstructing the single particle image from X-ray diffraction data. III. Maximum-likelihood based strategies to select solution of the phase problem
   
   Mat. Biolog. Bioinform., 13:Suppl. (2018),  70–83
6. The use of connected masks for reconstructing the single particle image from X-ray diffraction data. III. Maximum-likelihood based strategies to select solution of the phase problem
   
   Mat. Biolog. Bioinform., 12:2 (2017),  521–535
7. The biological crystallography without crystals
   
   Mat. Biolog. Bioinform., 12:1 (2017),  55–72
8. The use of connected masks for reconstructing the single particle image from X-ray diffraction data. II. The dependence of the accuracy of the solution on the sampling step of experimental data
   
   Mat. Biolog. Bioinform., 10:Suppl. (2015),  56–72
9. The use of connected masks for reconstructing the single particle image from X-ray diffraction data
   
   Mat. Biolog. Bioinform., 10:Suppl. (2015),  1–19
10. The use of connected masks for reconstructing the single particle image from X-ray diffraction data. II. The dependence of the accuracy of the solution on the sampling step of experimental data
    
    Mat. Biolog. Bioinform., 10:2 (2015),  508–525
11. The Use of Connected Masks for Reconstructing the Single Particle Image from X-Ray Diffraction Data
    
    Mat. Biolog. Bioinform., 9:2 (2014),  543–562
12. Computer Simulation of Diffraction of X-ray Pulses by Nanocrystals of Biological Macromolecules Using Unitary Approximation of Nonstationary Atomic Scattering Factors
    
    Mat. Biolog. Bioinform., 8:1 (2013),  93–118
13. The use of cluster analysis methods for the study of a set of feasible solutions of the phase problem in biological crystallography
    
    Computer Research and Modeling, 2:1 (2010),  91–101


14. To the memory of Èmmanuil Èl'evich Shnol'
    
    Uspekhi Mat. Nauk, 72:1(433) (2017),  197–208