Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Shlemov A"'
Autor:
Shlemov, Alexander, Bankevich, Sergey, Bzikadze, Andrey, Turchaninova, Maria A., Safonova, Yana, Pevzner, Pavel A.
Transforming error-prone immunosequencing datasets into antibody repertoires is a fundamental problem in immunogenomics, and a prerequisite for studies of immune responses. Although various repertoire reconstruction algorithms were released in the la
Externí odkaz:
http://arxiv.org/abs/1704.07184
Publikováno v:
Journal of Computational Biology (2018) Vol. 25, No. 11, p. 1220-1230
Motivation: Spatial pattern formation of the primary anterior-posterior morphogenetic gradient of the transcription factor Bicoid (Bcd) has been studied experimentally and computationally for many years. Bcd specifies positional information for the d
Externí odkaz:
http://arxiv.org/abs/1704.00351
Motivation: The analysis of antibodies and T-cell receptors (TCRs) concentrations in serum is a fundamental problem in immunoinformatics. Repertoire construction is a preliminary step of analysis of clonal lineages, understanding of immune response d
Externí odkaz:
http://arxiv.org/abs/1604.02193
Publikováno v:
Algorithms, Vol 16, Iss 7, p 353 (2023)
Singular spectrum analysis (SSA) is a non-parametric adaptive technique used for time series analysis. It allows solving various problems related to time series without the need to define a model. In this study, we focus on the problem of trend extra
Externí odkaz:
https://doaj.org/article/42c43b49e3e84de29b65b4fe87cf5d25
Autor:
Golyandina, Nina, Shlemov, Alex
Publikováno v:
Statistics and Its Interface, 2017, V.10, N1, P.47-57
Singular spectrum analysis (SSA) is considered for decomposition of time series into identifiable components. The Basic SSA method is nonparametric and constructs an adaptive expansion based on singular value decomposition. The investigated modificat
Externí odkaz:
http://arxiv.org/abs/1507.05286
Autor:
Shlemov, Alex, Golyandina, Nina
Publikováno v:
21st International Symposium on Mathematical Theory of Networks and Systems, July 7-11, 2014. Groningen, The Netherlands. p.1813-1820
Extensions of singular spectrum analysis (SSA) for processing of non-rectangular images and time series with gaps are considered. A circular version is suggested, which allows application of the method to the data given on a circle or on a cylinder,
Externí odkaz:
http://arxiv.org/abs/1401.4980
Publikováno v:
Journal of Statistical Software, v.67, Issue 2, 2015, p. 1-78
Implementation of multivariate and 2D extensions of Singular Spectrum Analysis (SSA) by means of the R-package Rssa is considered. The extensions include MSSA for simultaneous analysis and forecasting of several time series and 2D-SSA for analysis of
Externí odkaz:
http://arxiv.org/abs/1309.5050
Autor:
Golyandina, Nina, Shlemov, Alex
Publikováno v:
Statistics and Its Interface, 2015, V.8, N3, P.277-294
Singular spectrum analysis (SSA) as a nonparametric tool for decomposition of an observed time series into sum of interpretable components such as trend, oscillations and noise is considered. The separability of these series components by SSA means t
Externí odkaz:
http://arxiv.org/abs/1308.4022
Autor:
Alex Shlemov, Theodore Alexandrov, Nina Golyandina, David Holloway, Stefan Baumgartner, Alexander V Spirov
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0244701 (2021)
The Bicoid (Bcd) protein is a primary determinant of early anterior-posterior (AP) axis specification in Drosophila embryogenesis. This morphogen is spatially distributed in an anterior-high gradient, and affects particular AP cell fates in a concent
Externí odkaz:
https://doaj.org/article/19a9d0747ae54766bedd4ce8cabac977
Autor:
Hosein Mohimani, Alexey Gurevich, Alexander Shlemov, Alla Mikheenko, Anton Korobeynikov, Liu Cao, Egor Shcherbin, Louis-Felix Nothias, Pieter C. Dorrestein, Pavel A. Pevzner
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
New natural products can be identified via mass spectrometry by excluding all known ones from the analysis, a process called dereplication. Here, the authors extend a previously published dereplication algorithm to different classes of secondary meta
Externí odkaz:
https://doaj.org/article/c4d864910a6d4ce48c29b27e6d117690