Zobrazeno 1 - 10
of 2 767
pro vyhledávání: '"Rebecca, Davis"'
Autor:
Rui Yin, Maxime Wack, Claire Hassen-Khodja, Michael T. McDuffie, Geraldine Bliss, Elizabeth J. Horn, Cartik Kothari, Brittany McLarney, Rebecca Davis, Kristen Hanson, Megan O’Boyle, Catalina Betancur, Paul Avillach
Publikováno v:
Molecular Autism, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Background Phelan-McDermid syndrome (PMS) is a rare neurodevelopmental disorder caused by 22q13 deletions that include the SHANK3 gene or pathogenic sequence variants in SHANK3. It is characterized by global developmental delay, intellectual
Externí odkaz:
https://doaj.org/article/6a99ab8229bd44dfa398029474c7791b
Autor:
Rebecca Davis Gibbons
At a moment when the nuclear nonproliferation regime is under duress, Rebecca Davis Gibbons provides a trenchant analysis of the international system that has, for more than fifty years, controlled the spread of these catastrophic weapons. The Hegemo
Publikováno v:
Arms Control Today, 2022 Sep 01. 52(7), 12-17.
Externí odkaz:
https://www.jstor.org/stable/27173075
Autor:
Lusine Karamyan, Rebecca Davis
Publikováno v:
Banber Erevani Hamalsarani. Sots'iologia, Vol 14, Iss 2 (38) (2023)
This article describes a specific therapeutic method used by helping professionals, librarians, and others to address various issues and needs of their service users. The guided therapeutic use of selected books, including audiobooks, stories, differ
Externí odkaz:
https://doaj.org/article/1904d3a45e164f2aa7286b7def20f98f
Publikováno v:
POCUS Journal, Vol 8, Iss 2 (2023)
Objectives: This pilot study aims to determine if patients untrained in performing ultrasound can self-scan to obtain images under remote clinician teleguidance during a simulated telehealth encounter. This study also seeks to describe the patients
Externí odkaz:
https://doaj.org/article/efcda1b1f17a46dd8338f89609858a81
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-14 (2023)
Abstract Graph convolutional neural networks (GCNs) have been repeatedly shown to have robust capacities for modeling graph data such as small molecules. Message-passing neural networks (MPNNs), a group of GCN variants that can learn and aggregate lo
Externí odkaz:
https://doaj.org/article/5568317c8b3a4f7da809d8c0815ca27e
Publikováno v:
BMC Bioinformatics, Vol 23, Iss S4, Pp 1-21 (2022)
Abstract Background Converting molecules into computer-interpretable features with rich molecular information is a core problem of data-driven machine learning applications in chemical and drug-related tasks. Generally speaking, there are global and
Externí odkaz:
https://doaj.org/article/7f8110e1c03a42cd9a0e4b5fcffa09db
Autor:
Chengyou Liu, Andrew M. Hogan, Hunter Sturm, Mohd Wasif Khan, Md. Mohaiminul Islam, A. S. M. Zisanur Rahman, Rebecca Davis, Silvia T. Cardona, Pingzhao Hu
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-17 (2022)
Abstract Motivation Chemical–genetic interaction profiling is a genetic approach that quantifies the susceptibility of a set of mutants depleted in specific gene product(s) to a set of chemical compounds. With the recent advances in artificial inte
Externí odkaz:
https://doaj.org/article/5631e85a7daa4295b43b4e0a14be011b
Autor:
A S M Zisanur Rahman, Chengyou Liu, Hunter Sturm, Andrew M Hogan, Rebecca Davis, Pingzhao Hu, Silvia T Cardona
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 10, p e1010613 (2022)
Screening for novel antibacterial compounds in small molecule libraries has a low success rate. We applied machine learning (ML)-based virtual screening for antibacterial activity and evaluated its predictive power by experimental validation. We firs
Externí odkaz:
https://doaj.org/article/5a6fd3b2e7f448648e12f1623ece1423