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pro vyhledávání: '"Coombes, Kevin R"'
Autor:
Jiang, Qu, Stachelscheid, Johanna, Bloehdorn, Johannes, Pacholewska, Alicja, Aszyk, Christoph, Grotenhuijs, Francien, Müller, Tony, Onder, Ozlem, Wagle, Prerana, Herling, Carmen D., Kleppe, Maria, Wang, Zhefang, Coombes, Kevin R., Robrecht, Sandra, Dalvi, Priya S., Plosnita, Bianca, Mayer, Petra, Abruzzo, Lynne V., Altmüller, Janine, Gathof, Birgit, Persigehl, Thorsten, Fischer, Kirsten, Jebaraj, Billy, Rienhoff, Hugh Y., Ecker, Rupert, Zhao, Yue, Bruns, Christiane J., Stilgenbauer, Stephan, Elenitoba-Johnson, Kojo, Hallek, Michael, Schweiger, Michal R., Odenthal, Margarete, Vasyutina, Elena, Herling, Marco
Publikováno v:
In Blood 6 July 2023 142(1):44-61
Akademický článek
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Akademický článek
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We consider the problem of multi-task learning in the high dimensional setting. In particular, we introduce an estimator and investigate its statistical and computational properties for the problem of multiple connected linear regressions known as Da
Externí odkaz:
http://arxiv.org/abs/1806.04047
Autor:
Siddiqui, Jalal K., Baskin, Elizabeth, Liu, Mingrui, Cantemir-Stone, Carmen Z., Zhang, Bofei, Bonneville, Russell, McElroy, Joseph P., Coombes, Kevin R., Mathé, Ewy A.
Integration of transcriptomic and metabolomic data improves functional interpretation of disease-related metabolomic phenotypes, and facilitates discovery of putative metabolite biomarkers and gene targets. For this reason, these data are increasingl
Externí odkaz:
http://arxiv.org/abs/1802.10588
Publikováno v:
In Journal of Biomedical Informatics June 2021 118
Autor:
Abrams, Zachary B., Li, Suli, Zhang, Lin, Coombes, Caitlin E., Payne, Philip R.O., Heerema, Nyla A., Abruzzo, Lynne V., Coombes, Kevin R.
Publikováno v:
In Cancer Genetics October 2020 248-249:34-38
Autor:
Baladandayuthapani, Veerabhadran, Talluri, Rajesh, Ji, Yuan, Coombes, Kevin R., Lu, Yiling, Hennessy, Bryan T., Davies, Michael A., Mallick, Bani K.
Publikováno v:
Annals of Applied Statistics 2014, Vol. 8, No. 3, 1443-1468
Reverse-phase protein array (RPPA) analysis is a powerful, relatively new platform that allows for high-throughput, quantitative analysis of protein networks. One of the challenges that currently limit the potential of this technology is the lack of
Externí odkaz:
http://arxiv.org/abs/1403.7672
Autor:
Herling, Carmen D, Coombes, Kevin R, Benner, Axel, Bloehdorn, Johannes, Barron, Lynn L, Abrams, Zachary B, Majewski, Tadeusz, Bondaruk, Jolanta E, Bahlo, Jasmin, Fischer, Kirsten, Hallek, Michael, Stilgenbauer, Stephan, Czerniak, Bogdan A, Oakes, Christopher C, Ferrajoli, Alessandra, Keating, Michael J, Abruzzo, Lynne V *
Publikováno v:
In The Lancet Oncology November 2019 20(11):1576-1586
Autor:
Giacopelli, Brian, Zhao, Qiuhong, Ruppert, Amy S., Agyeman, Akwasi, Weigel, Christoph, Wu, Yue-Zhong, Gerber, Madelyn M., Rabe, Kari G., Larson, Melissa C., Lu, Junyan, Blachly, James S., Rogers, Kerry A., Wierda, William G., Brown, Jennifer R., Rai, Kanti R., Keating, Michael, Rassenti, Laura Z., Kipps, Thomas J., Zenz, Thorsten, Shanafelt, Tait D., Kay, Neil E., Abruzzo, Lynne V., Coombes, Kevin R., Woyach, Jennifer A., Byrd, John C., Oakes, Christopher C.
Publikováno v:
In Blood 22 August 2019 134(8):688-698