Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Duc, Khanh"'
Generating synthetic cryogenic electron microscopy (cryo-EM) 3D density maps from molecular structures has potential important applications in structural biology. Yet existing simulation-based methods cannot mimic all the complex features present in
Externí odkaz:
http://arxiv.org/abs/2407.17674
Publikováno v:
J. R. Soc. Interface. 2120230652
Translation of proteins is a fundamental part of gene expression that is mediated by ribosomes. As ribosomes significantly contribute to both cellular mass and energy consumption, achieving efficient management of the ribosome population is also cruc
Externí odkaz:
http://arxiv.org/abs/2401.06294
Visualization tools can help synthetic biologists and molecular programmers understand the complex reactive pathways of nucleic acid reactions, which can be designed for many potential applications and can be modelled using a continuous-time Markov c
Externí odkaz:
http://arxiv.org/abs/2311.03411
Synthetic biologists and molecular programmers design novel nucleic acid reactions, with many potential applications. Good visualization tools are needed to help domain experts make sense of the complex outputs of folding pathway simulations of such
Externí odkaz:
http://arxiv.org/abs/2311.03409
Aligning EM density maps and fitting atomic models are essential steps in single particle cryogenic electron microscopy (cryo-EM), with recent methods leveraging various algorithms and machine learning tools. As aligning maps remains challenging in t
Externí odkaz:
http://arxiv.org/abs/2311.00850
Publikováno v:
npj Flexible Electronics, Vol 8, Iss 1, Pp 1-15 (2024)
Abstract In the burgeoning field of wearable electronics, flexible and durable conductors that can maintain consistent electrical properties under various conditions are critically needed. This research introduces a novel composite material comprisin
Externí odkaz:
https://doaj.org/article/2788ac07dc194d0db6551fa2cf34c945
The empirical likelihood is a powerful nonparametric tool, that emulates its parametric counterpart -- the parametric likelihood -- preserving many of its large-sample properties. This article tackles the problem of assessing the discriminatory power
Externí odkaz:
http://arxiv.org/abs/2305.16478
The neural manifold hypothesis postulates that the activity of a neural population forms a low-dimensional manifold whose structure reflects that of the encoded task variables. In this work, we combine topological deep generative models and extrinsic
Externí odkaz:
http://arxiv.org/abs/2212.10414
Autor:
Duc, Khanh Nguyen
Publikováno v:
International Mathematics Research Notices, volume 2024, issue 6 (2024), 4738-4766
The $K$-$k$-Schur functions and $k$-Schur functions appeared in the study of $K$-theoretic and affine Schubert Calculus as polynomial representatives of Schubert classes. In this paper, we introduce a new family of symmetric functions $\mathcal{F}_\l
Externí odkaz:
http://arxiv.org/abs/2212.02037
Hippocampal place cells can encode spatial locations of an animal in physical or task-relevant spaces. We simulated place cell populations that encoded either Euclidean- or graph-based positions of a rat navigating to goal nodes in a maze with a grap
Externí odkaz:
http://arxiv.org/abs/2211.09096