Zobrazeno 1 - 10
of 931
pro vyhledávání: '"P. Dinner"'
Identifying informative low-dimensional features that characterize dynamics in molecular simulations remains a challenge, often requiring extensive hand-tuning and system-specific knowledge. Here, we introduce geom2vec, in which pretrained graph neur
Externí odkaz:
http://arxiv.org/abs/2409.19838
Many biological decision-making processes can be viewed as performing a classification task over a set of inputs, using various chemical and physical processes as "biological hardware." In this context, it is important to understand the inherent limi
Externí odkaz:
http://arxiv.org/abs/2409.05827
Fitting models to data to obtain distributions of consistent parameter values is important for uncertainty quantification, model comparison, and prediction. Standard Markov Chain Monte Carlo (MCMC) approaches for fitting ordinary differential equatio
Externí odkaz:
http://arxiv.org/abs/2408.15505
An issue for molecular dynamics simulations is that events of interest often involve timescales that are much longer than the simulation time step, which is set by the fastest timescales of the model. Because of this timescale separation, direct simu
Externí odkaz:
http://arxiv.org/abs/2404.19653
Standard approaches to controlling dynamical systems involve biologically implausible steps such as backpropagation of errors or intermediate model-based system representations. Recent advances in machine learning have shown that "imperfect" feedback
Externí odkaz:
http://arxiv.org/abs/2404.03798
Many chemical reactions and molecular processes occur on timescales that are significantly longer than those accessible by direct simulation. One successful approach to estimating dynamical statistics for such processes is to use many short time seri
Externí odkaz:
http://arxiv.org/abs/2311.07881
Autor:
Qiu, Yuqing, White, Elizabeth D., Munro, Edwin M., Vaikuntanathan, Suriyanarayanan, Dinner, Aaron R.
Cell polarization relies on long-range cortical flows, which are driven by active stresses and resisted by the cytoskeletal network. While the general mechanisms that contribute to cortical flows are known, a quantitative understanding of the factors
Externí odkaz:
http://arxiv.org/abs/2310.10819
Transformers, adapted from natural language processing, are emerging as a leading approach for graph representation learning. Contemporary graph transformers often treat nodes or edges as separate tokens. This approach leads to computational challeng
Externí odkaz:
http://arxiv.org/abs/2310.01704
Autor:
Redford, Steven A., Colen, Jonathan, Shivers, Jordan L., Zemsky, Sasha, Molaei, Mehdi, Floyd, Carlos, Ruijgrok, Paul V., Vitelli, Vincenzo, Bryant, Zev, Dinner, Aaron R., Gardel, Margaret L.
In active materials, uncoordinated internal stresses lead to emergent long-range flows. An understanding of how the behavior of active materials depends on mesoscopic (hydrodynamic) parameters is developing, but there remains a gap in knowledge conce
Externí odkaz:
http://arxiv.org/abs/2308.16831
Autor:
Neil D. Palmisiano, Ju‐Whei Lee, David F. Claxton, Elisabeth M. Paietta, Hassan Alkhateeb, Jae Park, Nikolai A. Podoltsev, Ehab L. Atallah, Dale G. Schaar, Shira N. Dinner, Jonathan A. Webster, Selina M. Luger, Mark R. Litzow
Publikováno v:
eJHaem, Vol 5, Iss 5, Pp 951-956 (2024)
Abstract Introduction Relapsed or refractory (r/r) acute lymphoblastic leukemia (ALL) or lymphoblastic lymphoma (LL) remains a therapeutic challenge. Preclinical data in both B‐ and T‐ALL suggests synergy of venetoclax (VEN) with vincristine (VCR
Externí odkaz:
https://doaj.org/article/c91b8c18158941c486ff17cf61cf66fd