Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Alexandre V Morozov"'
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 2, Pp 1-22 (2023)
Abstract We present a novel computational approach for extracting localized signals from smooth background distributions. We focus on datasets that can be naturally presented as binned integer counts, demonstrating our procedure on the CERN open data
Externí odkaz:
https://doaj.org/article/33e7af43685642f2ab1087ba966a9658
Autor:
Jianneng Yu, Alexandre V Morozov
Publikováno v:
New Journal of Physics, Vol 26, Iss 2, p 023027 (2024)
Many problems in science and technology require finding global minima or maxima of complicated objective functions. The importance of global optimization has inspired the development of numerous heuristic algorithms based on analogies with physical,
Externí odkaz:
https://doaj.org/article/efd0d3d98cce4972ac2ef47cdba000a0
Publikováno v:
Physical Review Research, Vol 4, Iss 4, p 043117 (2022)
We present an approach to partitioning network nodes into nonoverlapping communities, a key step in revealing network modularity and functional organization. Our methodology, applicable to networks with weighted or unweighted symmetric edges, uses ra
Externí odkaz:
https://doaj.org/article/5df42cea4f8d4e478057a7e48bd5bd54
Publikováno v:
Natural Product Reports. 40:766-793
Terpene volatile messengers are widespread among animals. New discoveries have been made about the role and independent evolution of pathways and enzymes in animal terpene biosynthesis, especially in the large group of insects.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e318260ff9c04ce3a6ab7dbc0352fbc4
https://doi.org/10.1039/d2np00076h
https://doi.org/10.1039/d2np00076h
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract Background Image-based high-throughput screening (HTS) reveals a high level of heterogeneity in single cells and multiple cellular states may be observed within a single population. Currently available high-dimensional analysis methods are s
Externí odkaz:
https://doaj.org/article/cc4e9232219342d89e8e2ef33729032e
Autor:
Zarley Rebholz, Leena Shewade, Kylie Kaler, Hailey Larose, Florian Schubot, Dorothea Tholl, Alexandre V. Morozov, Paul E. O’Maille
Publikováno v:
Protein Science. 32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a1ad3d81e1d91f87bf48aff2ecac9d2
https://doi.org/10.1002/pro.4634
https://doi.org/10.1002/pro.4634
Autor:
Zarley Rebholz, Jason Lancaster, Hailey Larose, Ashot Khrimian, Katrin Luck, Michael E. Sparks, Kerry L. Gendreau, Leena Shewade, Tobias G. Köllner, Donald C. Weber, Dawn E. Gundersen-Rindal, Paul O'Maille, Alexandre V. Morozov, Dorothea Tholl
Publikováno v:
Insect Biochemistry and Molecular Biology
Insects use diverse arrays of small molecules such as metabolites of the large class of terpenes for intra-and inter -specific communication and defense. These molecules are synthesized by specialized metabolic pathways; however, the origin of enzyme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0dcfc15d0b714c1bf62442ca5f53858
https://hdl.handle.net/10919/114501
https://hdl.handle.net/10919/114501
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0190186 (2018)
In considering evolution of transcribed regions, regulatory sequences, and other genomic loci, we are often faced with a situation in which the number of allelic states greatly exceeds the size of the population. In this limit, the population eventua
Externí odkaz:
https://doaj.org/article/83a1f5ff7a43412482a9590514cd9dc7
Autor:
Caleb González, Joe Christian J Ray, Michael Manhart, Rhys M Adams, Dmitry Nevozhay, Alexandre V Morozov, Gábor Balázsi
Publikováno v:
Molecular Systems Biology, Vol 11, Iss 8, Pp 1-18 (2015)
Abstract Stress response genes and their regulators form networks that underlie drug resistance. These networks often have an inherent tradeoff: their expression is costly in the absence of stress, but beneficial in stress. They can quickly emerge in
Externí odkaz:
https://doaj.org/article/e7e0704efa474e2d9d4e7fed059a2ef5
Publikováno v:
Journal of High Energy Physics
We present a novel computational approach for extracting localized signals from smooth background distributions. We focus on datasets that can be naturally presented as binned integer counts, demonstrating our procedure on the CERN open dataset with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::770d1695d9c8a8536c16d710a1a4dbb6
http://arxiv.org/abs/2202.05856
http://arxiv.org/abs/2202.05856