Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Yvonne A, Evrard"'
Autor:
Alexander Partin, Thomas Brettin, Yitan Zhu, James M. Dolezal, Sara Kochanny, Alexander T. Pearson, Maulik Shukla, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Patient-derived xenografts (PDXs) are an appealing platform for preclinical drug studies. A primary challenge in modeling drug response prediction (DRP) with PDXs and neural networks (NNs) is the limited number of drug response samples. We investigat
Externí odkaz:
https://doaj.org/article/e0d0f63467c2490f8c2c2db626e08d8c
Autor:
Hua Sun, Song Cao, R. Jay Mashl, Chia-Kuei Mo, Simone Zaccaria, Michael C. Wendl, Sherri R. Davies, Matthew H. Bailey, Tina M. Primeau, Jeremy Hoog, Jacqueline L. Mudd, Dennis A. Dean, Rajesh Patidar, Li Chen, Matthew A. Wyczalkowski, Reyka G. Jayasinghe, Fernanda Martins Rodrigues, Nadezhda V. Terekhanova, Yize Li, Kian-Huat Lim, Andrea Wang-Gillam, Brian A. Van Tine, Cynthia X. Ma, Rebecca Aft, Katherine C. Fuh, Julie K. Schwarz, Jose P. Zevallos, Sidharth V. Puram, John F. Dipersio, The NCI PDXNet Consortium, Brandi Davis-Dusenbery, Matthew J. Ellis, Michael T. Lewis, Michael A. Davies, Meenhard Herlyn, Bingliang Fang, Jack A. Roth, Alana L. Welm, Bryan E. Welm, Funda Meric-Bernstam, Feng Chen, Ryan C. Fields, Shunqiang Li, Ramaswamy Govindan, James H. Doroshow, Jeffrey A. Moscow, Yvonne A. Evrard, Jeffrey H. Chuang, Benjamin J. Raphael, Li Ding
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-20 (2021)
Patient-derived xenograft models (PDX) have been extensively used to study the molecular and clinical features of cancers. Here the authors present a cohort of 536 PDX models from 25 cancers, as well as their genomic and evolutionary profiles and the
Externí odkaz:
https://doaj.org/article/e6286532f9bc487a87943a142621d7a3
Autor:
Yingdong Zhao, Ming-Chung Li, Mariam M. Konaté, Li Chen, Biswajit Das, Chris Karlovich, P. Mickey Williams, Yvonne A. Evrard, James H. Doroshow, Lisa M. McShane
Publikováno v:
Journal of Translational Medicine, Vol 19, Iss 1, Pp 1-15 (2021)
Abstract Background In order to correctly decode phenotypic information from RNA-sequencing (RNA-seq) data, careful selection of the RNA-seq quantification measure is critical for inter-sample comparisons and for downstream analyses, such as differen
Externí odkaz:
https://doaj.org/article/c10f445a336e4544bc1017e110c062d5
Autor:
Alexander Partin, Thomas Brettin, Yvonne A. Evrard, Yitan Zhu, Hyunseung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick L. Stevens
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
Abstract Background Motivated by the size and availability of cell line drug sensitivity data, researchers have been developing machine learning (ML) models for predicting drug response to advance cancer treatment. As drug sensitivity studies continu
Externí odkaz:
https://doaj.org/article/873f9cf3b7d54242949d665daefd7144
Autor:
Yitan Zhu, Thomas Brettin, Fangfang Xia, Alexander Partin, Maulik Shukla, Hyunseung Yoo, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Convolutional neural networks (CNNs) have been successfully used in many applications where important information about data is embedded in the order of features, such as speech and imaging. However, most tabular data do not assume a spatial
Externí odkaz:
https://doaj.org/article/37c2f916e6fa45c08315225e5a9e05de
Autor:
Hua Sun, Song Cao, R. Jay Mashl, Chia-Kuei Mo, Simone Zaccaria, Michael C. Wendl, Sherri R. Davies, Matthew H. Bailey, Tina M. Primeau, Jeremy Hoog, Jacqueline L. Mudd, Dennis A. Dean, Rajesh Patidar, Li Chen, Matthew A. Wyczalkowski, Reyka G. Jayasinghe, Fernanda Martins Rodrigues, Nadezhda V. Terekhanova, Yize Li, Kian-Huat Lim, Andrea Wang-Gillam, Brian A. Van Tine, Cynthia X. Ma, Rebecca Aft, Katherine C. Fuh, Julie K. Schwarz, Jose P. Zevallos, Sidharth V. Puram, John F. Dipersio, The NCI PDXNet Consortium, Brandi Davis-Dusenbery, Matthew J. Ellis, Michael T. Lewis, Michael A. Davies, Meenhard Herlyn, Bingliang Fang, Jack A. Roth, Alana L. Welm, Bryan E. Welm, Funda Meric-Bernstam, Feng Chen, Ryan C. Fields, Shunqiang Li, Ramaswamy Govindan, James H. Doroshow, Jeffrey A. Moscow, Yvonne A. Evrard, Jeffrey H. Chuang, Benjamin J. Raphael, Li Ding
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/395184e65c5746b0adbbaf31dc3c4cc4
Autor:
Fangfang Xia, Maulik Shukla, Thomas Brettin, Cristina Garcia-Cardona, Judith Cohn, Jonathan E. Allen, Sergei Maslov, Susan L. Holbeck, James H. Doroshow, Yvonne A. Evrard, Eric A. Stahlberg, Rick L. Stevens
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S18, Pp 71-79 (2018)
Abstract Background The National Cancer Institute drug pair screening effort against 60 well-characterized human tumor cell lines (NCI-60) presents an unprecedented resource for modeling combinational drug activity. Results We present a computational
Externí odkaz:
https://doaj.org/article/fd72bada8c0f46febf9520c3cdac029a
Autor:
Yitan Zhu, Thomas Brettin, Fangfang Xia, Alexander Partin, Maulik Shukla, Hyunseung Yoo, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/73c4d02e5c51427789680731bb6ebbcf
Autor:
Tanmoy Bhattacharya, Thomas Brettin, James H. Doroshow, Yvonne A. Evrard, Emily J. Greenspan, Amy L. Gryshuk, Thuc T. Hoang, Carolyn B. Vea Lauzon, Dwight Nissley, Lynne Penberthy, Eric Stahlberg, Rick Stevens, Fred Streitz, Georgia Tourassi, Fangfang Xia, George Zaki
Publikováno v:
Frontiers in Oncology, Vol 9 (2019)
The application of data science in cancer research has been boosted by major advances in three primary areas: (1) Data: diversity, amount, and availability of biomedical data; (2) Advances in Artificial Intelligence (AI) and Machine Learning (ML) alg
Externí odkaz:
https://doaj.org/article/9e82654f1abd4a87a245b6b2ae1fe724
Autor:
Jeffrey H. Chuang, Jeffrey S. Morris, Dennis A. Dean, James H. Doroshow, Jelena Randjelovic, Anuj Srivastava, Yvonne A. Evrard
The supplementary file contains additional methods, analyses, and details of workflows as referenced in the manuscript, including all supplementary figures and tables. A full table of contents and descriptions are provided within.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::189b18c038af9e4cb26b6b7f255cc557
https://doi.org/10.1158/0008-5472.22423304
https://doi.org/10.1158/0008-5472.22423304
