Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Christopher Eeles"'
Autor:
Anthony Mammoliti, Petr Smirnov, Minoru Nakano, Zhaleh Safikhani, Christopher Eeles, Heewon Seo, Sisira Kadambat Nair, Arvind S. Mer, Ian Smith, Chantal Ho, Gangesh Beri, Rebecca Kusko, Massive Analysis Quality Control (MAQC) Society Board of Directors, Eva Lin, Yihong Yu, Scott Martin, Marc Hafner, Benjamin Haibe-Kains
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
It is no secret that a significant part of scientific research is difficult to reproduce. Here, the authors present a cloud-computing platform called ORCESTRA that facilitates reproducible processing of multimodal biomedical data using customizable p
Externí odkaz:
https://doaj.org/article/da2c696db1874e349ef2975f7942b0cf
Autor:
Eva Lin, Scott E. Martin, Yihong Yu, Sisira Kadambat Nair, Anthony Mammoliti, Christopher Eeles, Marc Hafner, Benjamin Haibe-Kains, Heewon Seo, Petr Smirnov, Chantal Ho, Arvind Singh Mer, Zhaleh Safikhani, Gangesh Beri, Rebecca Kusko, Minoru Nakano, Ian Smith
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Nature Communications
Nature Communications
Reproducibility is essential to open science, as there is limited relevance for findings that can not be reproduced by independent research groups, regardless of its validity. It is therefore crucial for scientists to describe their experiments in su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ec554c619d1d908d6b299f15b17e6a6
https://doaj.org/article/da2c696db1874e349ef2975f7942b0cf
https://doaj.org/article/da2c696db1874e349ef2975f7942b0cf
Autor:
Gangesh Beri, Sisira Kadambat Nair, Parwaiz Nijrabi, Danyel Jennen, Christopher Eeles, Chantal Ho, Heewon Seo, Amy Tang, Petr Smirnov, Denis Tkachuk, Benjamin Haibe-Kains, Esther Yoo
Publikováno v:
Nucleic Acids Research, 48(W1), W455-W462. Oxford University Press
Nucleic Acids Research
Nucleic Acids Research
In the past few decades, major initiatives have been launched around the world to address chemical safety testing. These efforts aim to innovate and improve the efficacy of existing methods with the long-term goal of developing new risk assessment pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12e25048f087887271c4597906403f4b
https://doi.org/10.1093/nar/gkaa390
https://doi.org/10.1093/nar/gkaa390
Autor:
Arvind Singh Mer, Minoru Nakano, Parinaz Nasr Esfahani, Nikta Feizi, Gangesh Beri, Petr Smirnov, Anthony Mammoliti, Yihong Yu, Evgeniya Gorobets, Eva Lin, Marc Hafner, Scott E. Martin, Denis Tkachuk, Benjamin Haibe-Kains, Sisira Kadambat Nair, Christopher Eeles
Publikováno v:
Nucleic Acids Research
Cancer pharmacogenomics studies provide valuable insights into disease progression and associations between genomic features and drug response. PharmacoDB integrates multiple cancer pharmacogenomics datasets profiling approved and investigational dru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fdab3cf12bf12c1db28ec11994fcf27
https://pubmed.ncbi.nlm.nih.gov/34850112
https://pubmed.ncbi.nlm.nih.gov/34850112
Autor:
Marc Hafner, Sisira Kadambat Nair, Denis Tkachuk, Benjamin Haibe-Kains, Anthony Mammoliti, Eva Lin, Arvind Singh Mer, Nikta Feizi, Scott E. Martin, Minoru Nakano, Yihong Yu, Gangesh Beri, Parinaz Nasr Esfahani, Petr Smirnov, Evgeniya Gorobets, Christopher Eeles
Cancer pharmacogenomics studies provide valuable insights into disease progression and associations between genomic features and drug response. PharmacoDB integrates multiple cancer pharmacogenomics datasets profiling approved and investigational dru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f58a48d22128359ee2935927ec5c42a0
https://doi.org/10.1101/2021.09.21.461211
https://doi.org/10.1101/2021.09.21.461211
Autor:
Reza Reiazi, Tony Tadic, Scott V. Bratman, Christopher Eeles, Farnoosh Abbas-Aghababazadeh, Benjamin Haibe-Kains, Cheryl H. Arrowsmith, Andrew Hope, Mattea Welch
Studies have shown that radiomic features are sensitive to the variability of imaging parameters (e.g., scanner model) and one of the major challenges in these studies lies in improving the robustness of quantitative features against the variations i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9be37ee4d85f8a980cb4e6904f83738c
https://doi.org/10.1101/2021.03.04.21252908
https://doi.org/10.1101/2021.03.04.21252908
Autor:
Céline Mascaux, Catherine A. O’Brien, Jessica Weiss, Nhu-An Pham, Geoffrey Liu, Aline Fusco Fares, Denis Tkachuk, Chantal Ho, Benjamin Haibe-Kains, Gangesh Beri, Elijah Tai, Anna Goldenberg, Ruoshi Shi, Arvind Singh Mer, David W. Cescon, Ming-Sound Tsao, Sheng Guo, Ladislav Rampášek, Shingo Sakashita, Janosch Ortmann, Erin L. Stewart, Xiaoqian Jiang, Christopher Eeles
Quantifying response to drug treatment in mouse models of human cancer is important for treatment development and assignment, and yet remains a challenging task. A preferred measure to quantify this response should take into account as much of the ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ee89a709fc50ab41775b3a188c61ebc
https://doi.org/10.1101/2020.09.08.287573
https://doi.org/10.1101/2020.09.08.287573