Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Stephan C. Schürer"'
Publikováno v:
Semin Cancer Biol
Knowledge of the underpinnings of cancer initiation, progression and metastasis has increased exponentially in recent years. Advanced "omics" coupled with machine learning and artificial intelligence (deep learning) methods have helped elucidate targ
Autor:
Jann N. Sarkaria, Stephan C. Schürer, Nagi G. Ayad, Alison Kurimchak, Michael E. Ivan, Anna D Jermakowicz, James S. Duncan, Ricardo J. Komotar
Glioblastoma (GBM) is the most common and aggressive adult brain tumor. Despite years of research, clinical trials have not improved the outcome for GBM. Standard of care for newly diagnosed GBM includes surgical resection, followed by radiation and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b80e2e7d6db59dec6790dcc80f045c85
https://doi.org/10.1101/2020.09.21.306910
https://doi.org/10.1101/2020.09.21.306910
Autor:
Shana White, Marcin Pilarczyk, Lixia Zhang, Juozas Vasiliauskas, Sarah E. Davidson, Amar Koleti, Dusica Vidovic, Nicholas A. Clark, Stephan C. Schürer, Rashid Saadman Karim, Jacek Biesiada, Avi Ma'ayan, Daniel J.B. Clarke, John F. Reichard, Mark F. Bennett, Yan Ren, Vasileios Stathias, Behrouz Shamsaei, Naim Al Mahi, Jarek Meller, Mario Medvedovic, Wen Niu, Michal Kouril, Huan Xu, Kurt Roberts
There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Among these, iLINCS is unique in scope and versatility of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bfeea46ff70141c67a3f6ec14a71981
Publikováno v:
Cell Reports Medicine
Cell Reports Medicine, Vol 1, Iss 7, Pp 100128-(2020)
Cell Reports Medicine, Vol 1, Iss 7, Pp 100128-(2020)
Summary The approval of the first kinase inhibitor, Gleevec, ushered in a paradigm shift for oncological treatment—the use of genomic data for targeted, efficacious therapies. Since then, over 48 additional small-molecule kinase inhibitors have bee
Autor:
Caty Chung, Nicholas A. Clark, Michele Forlin, John Paul Turner, Christopher C. Mader, Mehdi Fazel, Sherry L. Jenkins, Amar Koleti, Naim Al Mahi, John F. Reichard, Tanya T. Kelley, Alessandro D'Urso, Kathleen M. Jagodnik, Dusica Vidovic, Mario Medvedovic, Marcin Pilarczyk, Vasileios Stathias, Behrouz Shamsaei, Lily Wang, Wen Niu, Avi Ma'ayan, Stephan C. Schürer, Daniel J. Cooper, Denis Torre, Bryce K. Allen, Raymond Terryn, Juozas Vasiliauskas, Jarek Meller, Ajay Pillai
Publikováno v:
Nucleic Acids Research
The Library of Integrated Network-based Cellular Signatures (LINCS) program is a national consortium funded by the NIH to generate a diverse and extensive reference library of cell-based perturbation-response signatures, along with novel data analyti
Autor:
Stephan C. Schürer, Michel Dumontier, Kathleen M. Jagodnik, Peipei Ping, Ajay Pillai, Simon Koplev, Alex A. T. Bui, Ruben Verborgh, Sherry L. Jenkins, Lucila Ohno-Machado, Ravi Madduri, Neil J. McKenna, Benedict Paten, Avi Ma'ayan
Publikováno v:
JOURNAL OF BIOMEDICAL INFORMATICS
Journal of Biomedical Informatics, 71, 49-57. Elsevier Science
Journal of Biomedical Informatics, 71, 49-57. Elsevier Science
The volume and diversity of data in biomedical research have been rapidly increasing in recent years. While such data hold significant promise for accelerating discovery, their use entails many challenges including: the need for adequate computationa
Autor:
Charles W. Luetje, Devin Kepchia, Pingxi Xu, Walter S. Leal, Stephan C. Schürer, Ana H. Castro, Raymond Terryn
Publikováno v:
Scientific Reports
Scientific reports, vol 9, iss 1
Scientific Reports, Vol 9, Iss 1, Pp 1-18 (2019)
Scientific reports, vol 9, iss 1
Scientific Reports, Vol 9, Iss 1, Pp 1-18 (2019)
Olfaction is a key component of the multimodal approach used by mosquitoes to target and feed on humans, spreading various diseases. Current repellents have drawbacks, necessitating development of more effective agents. In addition to variable odoran
Deep learning is a machine learning technique to model high-level abstractions in data by utilizing a graph composed of multiple processing layers that experience various linear and non-linear transformations. This technique has been shown to perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::911a00de9526fe2bfefcf8ec25a8000f
Publikováno v:
Methods in Molecular Biology ISBN: 9781493990887
Technological advancements in many fields have led to huge increases in data production, including data volume, diversity, and the speed at which new data is becoming available. In accordance with this, there is a lack of conformity in the ways data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367373384ba25f418b16f7424d507b52
https://doi.org/10.1007/978-1-4939-9089-4_4
https://doi.org/10.1007/978-1-4939-9089-4_4
Publikováno v:
SSRN Electronic Journal.
The approval of the first kinase inhibitor, Gleevec, in 2001, ushered in a paradigm shift for oncological treatment—the use of genomic data for targeted, efficacious therapies. Since then, over 48 additional small molecule kinase inhibitors have be