Zobrazeno 1 - 10
of 8 799
pro vyhledávání: '"Cinque"'
Autor:
Nina G. Bozhanova, Andrew I. Flyak, Benjamin P. Brown, Stormy E. Ruiz, Jordan Salas, Semi Rho, Robin G. Bombardi, Luke Myers, Cinque Soto, Justin R. Bailey, James E. Crowe, Pamela J. Bjorkman, Jens Meiler
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Identifying determinants of broadly neutralizing antibodies against hepatitis C virus (HCV) may guide HCV vaccine design. Here, the authors discover new anti-HCV antibodies using computational screening and analyze the amino acid composition and sequ
Externí odkaz:
https://doaj.org/article/f9573f4cd2774fcb9a4cbb1c42411547
Autor:
Cinque, Fabrizio, Orsingher, Enzo
We present a systematic study of higher-order Airy-type differential equations providing the explicit form of the solutions, deriving their power series expansions and a probabilistic interpretation. Under suitable convergence hypotheses, we compute
Externí odkaz:
http://arxiv.org/abs/2410.07729
This paper works on Binary Neural Networks (BNNs), a promising avenue for efficient deep learning, offering significant reductions in computational overhead and memory footprint to full precision networks. However, the challenge of energy-intensive t
Externí odkaz:
http://arxiv.org/abs/2410.00050
This paper introduces the Neural Transcoding Vision Transformer (\modelname), a generative model designed to estimate high-resolution functional Magnetic Resonance Imaging (fMRI) samples from simultaneous Electroencephalography (EEG) data. A key feat
Externí odkaz:
http://arxiv.org/abs/2409.11836
Action anticipation is the task of forecasting future activity from a partially observed sequence of events. However, this task is exposed to intrinsic future uncertainty and the difficulty of reasoning upon interconnected actions. Unlike previous wo
Externí odkaz:
http://arxiv.org/abs/2407.02309
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 3771-3780
Deepfake detection aims to contrast the spread of deep-generated media that undermines trust in online content. While existing methods focus on large and complex models, the need for real-time detection demands greater efficiency. With this in mind,
Externí odkaz:
http://arxiv.org/abs/2406.04932
Autor:
Cinque Soto, Jessica A. Finn, Jordan R. Willis, Samuel B. Day, Robert S. Sinkovits, Taylor Jones, Samuel Schmitz, Jens Meiler, Andre Branchizio, James E. Crowe
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-7 (2020)
Abstract Background Recent advances in DNA sequencing technologies have enabled significant leaps in capacity to generate large volumes of DNA sequence data, which has spurred a rapid growth in the use of bioinformatics as a means of interrogating an
Externí odkaz:
https://doaj.org/article/edd5c95dc07b4be798f44bcf7e346469
Autor:
Tom Z. Yuan, Pankaj Garg, Linya Wang, Jordan R. Willis, Eric Kwan, Ana G Lujan Hernandez, Emily Tuscano, Emily N. Sever, Erica Keane, Cinque Soto, Eric M. Mucker, Mallorie E. Fouch, Edgar Davidson, Benjamin J. Doranz, Shweta Kailasan, M. Javad Aman, Haoyang Li, Jay W. Hooper, Erica Ollmann Saphire, James E. Crowe, Qiang Liu, Fumiko Axelrod, Aaron K. Sato
Publikováno v:
mAbs, Vol 14, Iss 1 (2022)
Coronavirus disease 2019 (COVID-19) is an evolving global public health crisis in need of therapeutic options. Passive immunization of monoclonal antibodies (mAbs) represents a promising therapeutic strategy capable of conferring immediate protection
Externí odkaz:
https://doaj.org/article/b6c1901170674ee7807acd867a09110b
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Advances in next-generation sequencing (NGS) of antibody repertoires have led to an explosion in B cell receptor sequence data from donors with many different disease states. These data have the potential to detect patterns of imm
Externí odkaz:
https://doaj.org/article/5d7e85c571f04808b7755a6c515d3c5c
Autor:
Thomas Lemmin, Cinque Soto
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-7 (2019)
Abstract Background Carbohydrates are a class of large and diverse biomolecules, ranging from a simple monosaccharide to large multi-branching glycan structures. The covalent linkage of a carbohydrate to the nitrogen atom of an asparagine, a process
Externí odkaz:
https://doaj.org/article/61327db849ae44afaaa9a0f9b2d99882