Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Shterev, Ivo"'
High throughput screening of compounds (chemicals) is an essential part of drug discovery [7], involving thousands to millions of compounds, with the purpose of identifying candidate hits. Most statistical tools, including the industry standard B-sco
Externí odkaz:
http://arxiv.org/abs/1709.10041
Autor:
Choi, Hae Woong, Chan, Cliburn, Shterev, Ivo D., Lynch, Heather E., Robinette, Taylor J., Johnson-Weaver, Brandi T., Shi, Jianling, Sempowski, Gregory D., Kim, So Young, Dickson, John K., Gooden, David M., Abraham, Soman N., Staats, Herman F. *
Publikováno v:
In SLAS Discovery July 2019 24(6):628-640
Autor:
Shterev, Ivo, Dunson, David
This paper presents an application of statistical machine learning to the field of watermarking. We propose a new attack model on additive spread-spectrum watermarking systems. The proposed attack is based on Bayesian statistics. We consider the scen
Externí odkaz:
http://arxiv.org/abs/1206.4662
Autor:
Kajimura, Junko, Lynch, Heather E., Geyer, Susan, French, Benjamin, Yamaoka, Mika, Shterev, Ivo D., Sempowski, Gregory D., Kyoizumi, Seishi, Yoshida, Kengo, Misumi, Munechika, Ohishi, Waka, Hayashi, Tomonori, Nakachi, Kei, Kusunoki, Yoichiro
Publikováno v:
Radiation Research, 2018 Jan 01. 189(1), 84-94.
Externí odkaz:
https://www.jstor.org/stable/26428549
Autor:
Junkins, Robert D., Gallovic, Matthew D., Johnson, Brandon M., Collier, Michael A., Watkins-Schulz, Rebekah, Cheng, Ning, David, Clément N., McGee, Charles E., Sempowski, Gregory D., Shterev, Ivo, McKinnon, Karen, Bachelder, Eric M., Ainslie, Kristy M., Ting, Jenny P.-Y.
Publikováno v:
In Journal of Controlled Release 28 January 2018 270:1-13
Autor:
Samo, Melissa, Choudhary, Neelima R., Riebe, Kristina J., Shterev, Ivo, Staats, Herman F., Sempowski, Gregory D., Leduc, Isabelle
Publikováno v:
In Vaccine 24 February 2016 34(9):1193-1200
Autor:
Nixon, Andrew B., Halabi, Susan, Liu, Yingmiao, Starr, Mark D., Brady, John C., Shterev, Ivo, Luo, Bin, Hurwitz, Herbert I., Febbo, Phillip G., Rini, Brian I., Beltran, Himisha, Small, Eric J., Morris, Michael J., George, Daniel J.
Publikováno v:
Clin Cancer Res
PURPOSE: CALGB 90206 was a phase III trial of 732 mRCC patients comparing bevacizumab plus interferon alpha (BEV+IFN) versus interferon alpha alone (IFN). No difference in overall survival (OS) was observed. Baseline samples were analyzed to identify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bc564d62c9502ef45c5cb780865a33b4
https://europepmc.org/articles/PMC9240110/
https://europepmc.org/articles/PMC9240110/
Akademický článek
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Autor:
Jiaxing Lin, Sibley, Alexander, Shterev, Ivo, Nixon, Andrew, Innocenti, Federico, Cliburn Chan, Kouros Owzar
A figure of the schematic for two-layer cross-validation machine learning model. (PDF 203 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b027c6e5d64e41a7eea245401c0ce82
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 329 (2010)
Abstract Background Many analyses of microarray association studies involve permutation, bootstrap resampling and cross-validation, that are ideally formulated as embarrassingly parallel computing problems. Given that these analyses are computational
Externí odkaz:
https://doaj.org/article/28e15e8fd98140ea8c163a77627df080