Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Boian S. Alexandrov"'
Publikováno v:
Mathematics, Vol 12, Iss 19, p 2988 (2024)
Emerging tensor network techniques for solutions of partial differential equations (PDEs), known for their ability to break the curse of dimensionality, deliver new mathematical methods for ultra-fast numerical solutions of high-dimensional problems.
Externí odkaz:
https://doaj.org/article/36149f6dd5024681b63b955e85f21489
Autor:
Mark Broadwin, Dwight D. Harris, Sharif A. Sabe, Elif Sengun, Amber J. Sylvestre, Boian S. Alexandrov, Frank W. Sellke, Anny Usheva
Publikováno v:
Physiological Reports, Vol 11, Iss 15, Pp n/a-n/a (2023)
Abstract Obesity continues to rise in the juveniles and obese children are more likely to develop metabolic syndrome (MetS) and related cardiovascular disease. Unfortunately, effective prevention and long‐term treatment options remain limited. We d
Externí odkaz:
https://doaj.org/article/1ef5d5352a9a46db982db17c820b2f92
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Quantum annealers manufactured by D-Wave Systems, Inc., are computational devices capable of finding high-quality heuristic solutions of NP-hard problems. In this contribution, we explore the potential and effectiveness of such quantum annea
Externí odkaz:
https://doaj.org/article/73ecc33f21da4fa09d90cf67e92a5873
Autor:
Olivia Ziegler, Nivedita Sriram, Vladimir Gelev, Denitsa Radeva, Kostadin Todorov, Jun Feng, Frank W. Selke, Simon C. Robson, Makoto Hiromura, Boian S. Alexandrov, Anny Usheva
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Although metabolic syndrome (MetS) is linked to an elevated risk of cardiovascular disease (CVD), the cardiac-specific risk mechanism is unknown. Obesity, hypertension, and diabetes (all MetS components) are the most common form of CVD and r
Externí odkaz:
https://doaj.org/article/a44ca10268c34958baec7121327a4503
Autor:
Raviteja Vangara, Manish Bhattarai, Erik Skau, Gopinath Chennupati, Hristo Djidjev, Tom Tierney, James P. Smith, Valentin G. Stanev, Boian S. Alexandrov
Publikováno v:
IEEE Access, Vol 9, Pp 117217-117231 (2021)
Topic modeling, or identifying the set of topics that occur in a collection of articles, is one of the primary objectives of text mining. One of the big challenges in topic modeling is determining the correct number of topics: underestimating the num
Externí odkaz:
https://doaj.org/article/707c3e2add48470ab05fd9838d30a334
Autor:
Bin Zhu, Maria Luana Poeta, Manuela Costantini, Tongwu Zhang, Jianxin Shi, Steno Sentinelli, Wei Zhao, Vincenzo Pompeo, Maurizio Cardelli, Boian S. Alexandrov, Burcak Otlu, Xing Hua, Kristine Jones, Seth Brodie, Malgorzata Ewa Dabrowska, Jorge R. Toro, Meredith Yeager, Mingyi Wang, Belynda Hicks, Ludmil B. Alexandrov, Kevin M. Brown, David C. Wedge, Stephen Chanock, Vito Michele Fazio, Michele Gallucci, Maria Teresa Landi
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Many tumours are heterogenous, which calls into question whether multiple biopsies are required to accurately assess the cancer. Here, the authors show that papillary renal cell carcinoma is clonal in nature, suggesting that in this cancer one biopsy
Externí odkaz:
https://doaj.org/article/ffda5b58926c4a49be8ed66041ae4d4b
Autor:
Olivia Ziegler, Nivedita Sriram, Vladimir Gelev, Denitsa Radeva, Kostadin Todorov, Jun Feng, Frank W. Sellke, Simon C. Robson, Makoto Hiromura, Boian S. Alexandrov, Anny Usheva
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/3c4c33c8d83e44f096b11e95ee1569a2
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023248 (2020)
Fractional Brownian motion (fBm) is a ubiquitous diffusion process in which the memory effects of the stochastic transport result in the mean-squared particle displacement following a power law 〈Δr^{2}〉∼t^{α}, where the diffusion exponent α
Externí odkaz:
https://doaj.org/article/ef46d722768f4240ab8a513696481e19
Autor:
Boian S. Alexandrov, Vlad I. Valtchinov, Ludmil B. Alexandrov, Vladimir Gelev, Yossi Dagon, Jonathan Bock, Isaac S. Kohane, Kim Ø. Rasmussen, Alan R. Bishop, Anny Usheva
Publikováno v:
PLoS ONE, Vol 6, Iss 6 (2011)
Externí odkaz:
https://doaj.org/article/9740bd98f59a4ae780410cdcffb09f8d
Autor:
S.M. Ashiqul Islam, Marcos Díaz-Gay, Yang Wu, Mark Barnes, Raviteja Vangara, Erik N. Bergstrom, Yudou He, Mike Vella, Jingwei Wang, Jon W. Teague, Peter Clapham, Sarah Moody, Sergey Senkin, Yun Rose Li, Laura Riva, Tongwu Zhang, Andreas J. Gruber, Christopher D. Steele, Burçak Otlu, Azhar Khandekar, Ammal Abbasi, Laura Humphreys, Natalia Syulyukina, Samuel W. Brady, Boian S. Alexandrov, Nischalan Pillay, Jinghui Zhang, David J. Adams, Iñigo Martincorena, David C. Wedge, Maria Teresa Landi, Paul Brennan, Michael R. Stratton, Steven G. Rozen, Ludmil B. Alexandrov
Publikováno v:
Cell genomics, vol 2, iss 11
Mutational signature analysis is commonly performed in cancer genomic studies. Here, we present SigProfilerExtractor, an automated tool for de novo extraction of mutational signatures, and benchmark it against another 13 bioinformatics tools by using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d66650f68920d43fde2ce688d861fe80
https://escholarship.org/uc/item/9b82739r
https://escholarship.org/uc/item/9b82739r
