Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xue, Yuanqing"'
Autor:
Montana, Aldrin, Xue, Yuanqing, LeFevre, Jeff, Maltzahn, Carlos, Stuart, Josh, Kufeldt, Philip, Alvaro, Peter
Over the years, hardware trends have introduced various heterogeneous compute units while also bringing network and storage bandwidths within an order of magnitude of memory subsystems. In response, developers have used increasingly exotic solutions
Externí odkaz:
http://arxiv.org/abs/2212.11459
Autor:
Ding, Hongxu, Yang, Ying, Xue, Yuanqing, Seninge, Lucas, Gong, Henry, Safavi, Rojin, Califano, Andrea, Stuart, Joshua M.
Publikováno v:
In iScience 22 January 2021 24(1)
Autor:
Cheney, Allison, Xue, Yuanqing (Bianca), Lyle, A. Geoffrey, Kephart, Ellen T., Stuart, Josh M., Vaske, Olena M.
Publikováno v:
In Cancer Genetics November 2023 278-279 Supplement 1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Xue, Yuanqing (Bianca), Friedl, Verena
Publikováno v:
In Cancer Genetics November 2022 268-269 Supplement 1:43-43
Publikováno v:
Cell Reports Methods; June 2024, Vol. 4 Issue: 6
Autor:
Xue, Yuanqing
Publikováno v:
Xue, Yuanqing. (2017). Design Recombinant Protein Adhesion Molecules Target for Therapeutic Nanoparticles and Tumor Biomarkers. UC Irvine: Chemical and Biochemical Engineering. Retrieved from: http://www.escholarship.org/uc/item/7d25g62r
A wide spectrum of therapeutic nanoparticles have been investigated as delivery systems to improve the pharmacological properties of drugs or imaging agents. By utilizing the advantageous properties of nanoparticles such as high surface to volume rat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::4d4999b3fd1cbcb4f8d7517d7d42204e
http://www.escholarship.org/uc/item/7d25g62r
http://www.escholarship.org/uc/item/7d25g62r
Publikováno v:
2012 Fifth International Conference on Intelligent Networks & Intelligent Systems; 1/ 1/2012, p202-205, 4p
Autor:
Phuong T. Dinh, Holly C. Beale, Isabel Bjork, Alana S. Weinstein, Stanley G. Leung, E. Alejandro Sweet-Cordero, David Haussler, Ioannis N. Anastopoulos, Jacob Pfeil, Avanthi Tayi Shah, W. Patrick Devine, Yuanqing Xue, Lauren Sanders, Alex G. Lee, Sofie R. Salama, Olena M. Vaske, Marcus R. Breese, A. Geoffrey Lyle, Andrew Blair
Publikováno v:
PLoS computational biology, vol 16, iss 4
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 4, p e1007753 (2020)
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 4, p e1007753 (2020)
Precision oncology has primarily relied on coding mutations as biomarkers of response to therapies. While transcriptome analysis can provide valuable information, incorporation into workflows has been difficult. For example, the relative rather than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36883de655dc99d8481ddfda8b794f36
https://escholarship.org/uc/item/4fp081x6
https://escholarship.org/uc/item/4fp081x6
Autor:
Ding H; Department of Biomolecular Engineering and Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.; Department of Systems Biology, Columbia University, New York, NY, USA., Yang Y; Department of Biomolecular Engineering and Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.; Department of Dermatology, Stanford University, Stanford, CA, USA., Xue Y; Department of Biomolecular Engineering and Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA., Seninge L; Department of Biomolecular Engineering and Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA., Gong H; Department of Biomolecular Engineering and Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA., Safavi R; Department of Biomolecular Engineering and Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA., Califano A; Department of Systems Biology, Columbia University, New York, NY, USA., Stuart JM; Department of Biomolecular Engineering and Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
Publikováno v:
IScience [iScience] 2020 Dec 30; Vol. 24 (1), pp. 102017. Date of Electronic Publication: 2020 Dec 30 (Print Publication: 2021).