Zobrazeno 1 - 10
of 9 190
pro vyhledávání: '"Ellington, A."'
We examine Contextualized Machine Learning (ML), a paradigm for learning heterogeneous and context-dependent effects. Contextualized ML estimates heterogeneous functions by applying deep learning to the meta-relationship between contextual informatio
Externí odkaz:
http://arxiv.org/abs/2310.11340
Autor:
Deuschel, Jannik, Ellington, Caleb N., Luo, Yingtao, Lengerich, Benjamin J., Friederich, Pascal, Xing, Eric P.
Interpretable policy learning seeks to estimate intelligible decision policies from observed actions; however, existing models force a tradeoff between accuracy and interpretability, limiting data-driven interpretations of human decision-making proce
Externí odkaz:
http://arxiv.org/abs/2310.07918
The fundamental goal of small molecule discovery is to generate chemicals with target functionality. While this often proceeds through structure-based methods, we set out to investigate the practicality of orthogonal methods that leverage the extensi
Externí odkaz:
http://arxiv.org/abs/2309.08765
We identify a new type of risk, common firm-level investor fears, from commonalities within the cross-sectional distribution of individual stock options. We define firm-level fears that link with upward price movements as good fears, and those relati
Externí odkaz:
http://arxiv.org/abs/2309.03968
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract A sustainable operation for harvesting metals in the lanthanide series is needed to meet the rising demand for rare earth elements across diverse global industries. However, existing methods are limited in their capacity for detection and ca
Externí odkaz:
https://doaj.org/article/f1803e93a7cc459298ef38eb50c9c069
Chemical similarity searches are widely used in-silico methods for identifying new drug-like molecules. These methods have historically relied on structure-based comparisons to compute molecular similarity. Here, we use a chemical language model to c
Externí odkaz:
http://arxiv.org/abs/2305.16330
Autor:
Daniel J. Diaz, Chengyue Gong, Jeffrey Ouyang-Zhang, James M. Loy, Jordan Wells, David Yang, Andrew D. Ellington, Alexandros G. Dimakis, Adam R. Klivans
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Engineering stabilized proteins is a fundamental challenge in the development of industrial and pharmaceutical biotechnologies. We present Stability Oracle: a structure-based graph-transformer framework that achieves SOTA performance on accu
Externí odkaz:
https://doaj.org/article/09e8ba873c164e1eb910e28fd655392f
Autor:
Simon d’Oelsnitz, Daniel J. Diaz, Wantae Kim, Daniel J. Acosta, Tyler L. Dangerfield, Mason W. Schechter, Matthew B. Minus, James R. Howard, Hannah Do, James M. Loy, Hal S. Alper, Y. Jessie Zhang, Andrew D. Ellington
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract A major challenge to achieving industry-scale biomanufacturing of therapeutic alkaloids is the slow process of biocatalyst engineering. Amaryllidaceae alkaloids, such as the Alzheimer’s medication galantamine, are complex plant secondary m
Externí odkaz:
https://doaj.org/article/a590be639471443d8f68f7c532e9fc11
Autor:
Blake Ellington
Publikováno v:
Journal of the California Dental Association, Vol 52, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/57d1f7473ba64d89ac679fe5c7f2941c
Autor:
Sarah A. Neller, Megan Thomas Hebdon, Emily Wickens, Debra L. Scammon, Rebecca L. Utz, Kara B. Dassel, Alexandra L. Terrill, Lee Ellington, Anne V. Kirby
Publikováno v:
International Journal of Qualitative Studies on Health & Well-Being, Vol 19, Iss 1 (2024)
Purpose The purpose of this study was to understand the lived experiences of family caregivers who provide care to individuals across a broad range of ages, caregiving relationships, and health conditions and/or disabilities. Family caregiver researc
Externí odkaz:
https://doaj.org/article/6712aa2fbefe43b286930f88ec36c53a