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pro vyhledávání: '"Huckvale, Erik D."'
Determining the maximum usage of random-access memory (RAM) on both the motherboard and on a graphical processing unit (GPU) over the lifetime of a computing task can be extremely useful for troubleshooting points of failure as well as optimizing mem
Externí odkaz:
http://arxiv.org/abs/2404.01473
Autor:
Huckvale, Erik D.1 (AUTHOR) edhu227@uky.edu, Moseley, Hunter N. B.1,2,3,4 (AUTHOR) edhu227@uky.edu
Publikováno v:
PLoS ONE. 5/2/2024, Vol. 19 Issue 5, p1-12. 12p.
Akademický článek
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Akademický článek
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Autor:
Huckvale, Erik D., Hodgman, Matthew W., Greenwood, Brianna B., Stucki, Devorah O., Ward, Katrisa M., Ebbert, Mark T. W., Kauwe, John S. K., Initiative, The Alzheimer’s Disease Neuroimaging Initiative The Alzheimer’s Disease Neuroimaging, Consortium, The Alzheimer’s Disease Metabolomics Consortium The Alzheimer’s Disease Metabolomics, Miller, Justin B.
Publikováno v:
Genes
Volume 12
Issue 11
Genes, Vol 12, Iss 1661, p 1661 (2021)
Volume 12
Issue 11
Genes, Vol 12, Iss 1661, p 1661 (2021)
The Alzheimer’s Disease Neuroimaging Initiative (ADNI) contains extensive patient measurements (e.g., magnetic resonance imaging [MRI], biometrics, RNA expression, etc.) from Alzheimer’s disease (AD) cases and controls that have recently been use
Autor:
Huckvale ED; Markey Cancer Center, University of Kentucky, Lexington, KY, USA.; Superfund Research Center, University of Kentucky, Lexington, KY, USA., Moseley HNB; Markey Cancer Center, University of Kentucky, Lexington, KY, USA.; Superfund Research Center, University of Kentucky, Lexington, KY, USA.; Department of Computer Science (Data Science Program), University of Kentucky, Lexington, KY, USA.; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY, USA.; Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, USA.; Institute for Biomedical Informatics, University of Kentucky, Lexington, KY, USA.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2024 Aug 09. Date of Electronic Publication: 2024 Aug 09.
Predicting The Pathway Involvement Of Metabolites Based on Combined Metabolite and Pathway Features.
Autor:
Huckvale ED; Markey Cancer Center, University of Kentucky, Lexington, KY 40506, USA., Moseley HNB; Markey Cancer Center, University of Kentucky, Lexington, KY 40506, USA.; Superfund Research Center, University of Kentucky, Lexington, KY 40506, USA.; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40536, USA.; Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40506, USA.; Institute for Biomedical Informatics, University of Kentucky, Lexington, KY 40506, USA.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2024 Apr 02. Date of Electronic Publication: 2024 Apr 02.
Autor:
Huckvale ED; Department of Computer Science (Data Science Program), University of Kentucky, Lexington, KY 40506, USA., Powell CD; Department of Computer Science (Data Science Program), University of Kentucky, Lexington, KY 40506, USA.; Markey Cancer Center, University of Kentucky, Lexington, KY 40506, USA.; Superfund Research Center, University of Kentucky, Lexington, KY 40506, USA., Jin H; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40536, USA., Moseley HNB; Markey Cancer Center, University of Kentucky, Lexington, KY 40506, USA.; Superfund Research Center, University of Kentucky, Lexington, KY 40506, USA.; Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40506, USA.; Institute for Biomedical Informatics, University of Kentucky, Lexington, KY 40506, USA.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2023 Oct 09. Date of Electronic Publication: 2023 Oct 09.