Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Mary E. Edgerton"'
Publikováno v:
Analytical Cellular Pathology, Vol 34, Iss 5, Pp 247-263 (2011)
We introduce a novel “mathematical pathology” approach, founded on a biophysical model, to identify robust patient-specific predictors of tumor growth useful in clinical practice to improve the accuracy of diagnosis/prognosis and intervention. In
Externí odkaz:
https://doaj.org/article/f51a9d31d03a404ca68380adeb9cc385
Autor:
William E. Grizzle, M. Kay Washington, Stephen J. Qualman, Christopher A. Moskaluk, Virginia A. LiVolsi, Carl Morrison, Mary E. Edgerton
Publikováno v:
Cancer Informatics, Vol 6, Pp 127-137 (2008)
Tissue resources have become an important component of the infrastructure of institutions as well as companies performing biomedical research. Such tissue resources may be in the model of a bank, collecting a limited type of tissues and processing an
Externí odkaz:
https://doaj.org/article/4c3c712b7f1246c7af9afc5ad36a106a
Publikováno v:
Cancer Informatics, Vol 3, Pp 93-114 (2007)
We use Backward Chaining Rule Induction (BCRI), a novel data mining method for hypothesizing causative mechanisms, to mine lung cancer gene expression array data for mechanisms that could impact survival. Initially, a supervised learning system is us
Externí odkaz:
https://doaj.org/article/95461915e8524de881f3226513b86570
Autor:
Mary E. Edgerton
Publikováno v:
Cancer Informatics, Vol 3 (2007)
Externí odkaz:
https://doaj.org/article/9f29c3f0077a4cc597a0fa11f2f0632d
Publikováno v:
Cancer Informatics, Vol 3 (2007)
We use Backward Chaining Rule Induction (BCRI), a novel data mining method for hypothesizing causative mechanisms, to mine lung cancer gene expression array data for mechanisms that could impact survival. Initially, a supervised learning system is us
Externí odkaz:
https://doaj.org/article/863a78d1bc834ec696939be9ac8e785c
Autor:
Mary E. Edgerton
Publikováno v:
Cancer Informatics, Vol 3, p 123 (2007)
Cancer Informatics 2007 Dedication is on Chiara Silvestrini.
Externí odkaz:
https://doaj.org/article/95718ceb2cb140d4a418c8e4af63aace
Autor:
Vittorio Cristini, Mauro Ferrari, Robert A. Gatenby, Lisa K. Worrall, Felicity R.A.J. Rose, John P. Fruehauf, Mary E. Edgerton, Hermann B. Frieboes
Supplementary Methods and Figure Legend from Prediction of Drug Response in Breast Cancer Using Integrative Experimental/Computational Modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25b6d84c74beddccbb62f5f35d75bef1
https://doi.org/10.1158/0008-5472.22378118
https://doi.org/10.1158/0008-5472.22378118
Autor:
Vittorio Cristini, Mauro Ferrari, Robert A. Gatenby, Lisa K. Worrall, Felicity R.A.J. Rose, John P. Fruehauf, Mary E. Edgerton, Hermann B. Frieboes
Supplementary Figure 1 from Prediction of Drug Response in Breast Cancer Using Integrative Experimental/Computational Modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f8ada706a1aea8076d9e4791106d304
https://doi.org/10.1158/0008-5472.22378121.v1
https://doi.org/10.1158/0008-5472.22378121.v1
Autor:
Mignon Dryden, Ross W. Simpson, Veronica E. Klepeis, Robert W. Allan, Jyoti P. Balani, Vanda F. Torous, John R. Srigley, Michael A. Berman, Giovanna A. Giannico, Christopher R. Jackson, Jordan Erik Olson, Michelle Heayn, George G. Birdsong, Mary E. Edgerton, Brett Baskovich, S. Joseph Sirintrapun, Jason R. Pettus, Deven L. Smith, Elizabeth A. Dellers Md
Publikováno v:
Archives of Pathology & Laboratory Medicine. 145:392-398
Autor:
Darlan Conterno Minussi, Emi Sei, Junke Wang, Aislyn Schalck, Yun Yan, Alexander Davis, Hua-Jun Wu, Shanshan Bai, Cheng Peng, Min Hu, Anna Casasent, Alejandro Contreras, Hui Chen, David Hui, Senthil Damodaran, Mary E Edgerton, Scott Kopetz, Bora Lim, Nicholas Navin
High-throughput methods for single cell copy number sequencing have enabled the profiling of thousands of cells in parallel, yet there remains a significant bottleneck for data analysis. Here we present CopyKit, a comprehensive set of computational m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a22a8d8b5286c1debdc6b39f5eb06e03
https://doi.org/10.1101/2022.03.09.483497
https://doi.org/10.1101/2022.03.09.483497