Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Metin Can Siper"'
Autor:
Augustin Luna, Metin Can Siper, Anil Korkut, Funda Durupinar, Ugur Dogrusoz, Joseph E. Aslan, Chris Sander, Emek Demir, Ozgun Babur
Publikováno v:
STAR Protocols, Vol 2, Iss 4, Pp 100955- (2021)
Summary: CausalPath (causalpath.org) evaluates proteomic measurements against prior knowledge of biological pathways and infers causality between changes in measured features, such as global protein and phospho-protein levels. It uses pathway resourc
Externí odkaz:
https://doaj.org/article/fc4ddb8e45544aaa907f1d765d544284
Autor:
Jeffrey V Wong, Max Franz, Metin Can Siper, Dylan Fong, Funda Durupinar, Christian Dallago, Augustin Luna, John Giorgi, Igor Rodchenkov, Özgün Babur, John A Bachman, Benjamin M Gyori, Emek Demir, Gary D Bader, Chris Sander
Publikováno v:
eLife, Vol 10 (2021)
Making the knowledge contained in scientific papers machine-readable and formally computable would allow researchers to take full advantage of this information by enabling integration with other knowledge sources to support data analysis and interpre
Externí odkaz:
https://doaj.org/article/0e7425ae2b5543cbbc64b2a5fe85b2a7
Autor:
Özgün Babur, Augustin Luna, Anil Korkut, Funda Durupinar, Metin Can Siper, Ugur Dogrusoz, Alvaro Sebastian Vaca Jacome, Ryan Peckner, Karen E. Christianson, Jacob D. Jaffe, Paul T. Spellman, Joseph E. Aslan, Chris Sander, Emek Demir
Publikováno v:
Patterns, Vol 2, Iss 6, Pp 100257- (2021)
Summary: We present a computational method to infer causal mechanisms in cell biology by analyzing changes in high-throughput proteomic profiles on the background of prior knowledge captured in biochemical reaction knowledge bases. The method mimics
Externí odkaz:
https://doaj.org/article/6418ddf1cf6f49f2a933be67a0b71f62
Autor:
Ugur Dogrusoz, Alper Karacelik, Ilkin Safarli, Hasan Balci, Leonard Dervishi, Metin Can Siper
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0197238 (2018)
BACKGROUND:One common problem in visualizing real-life networks, including biological pathways, is the large size of these networks. Often times, users find themselves facing slow, non-scaling operations due to network size, if not a "hairball" netwo
Externí odkaz:
https://doaj.org/article/e7ee27c9c44b41aaa9502d85d793805c
Autor:
Max Franz, Christian T Lopes, Dylan Fong, Mike Kucera, Manfred Cheung, Metin Can Siper, Gerardo Huck, Yue Dong, Onur Sumer, Gary D Bader
Publikováno v:
Bioinformatics. 39
SummaryCytoscape.js is an open-source JavaScript-based graph library. Its most common use case is as a visualization software component, so it can be used to render interactive graphs in a web browser. It also can be used in a headless manner, useful
Autor:
A. Ercument Cicek, Metin Can Siper, Furkan Ozden, Bryan Marty, Tugrulcan Elmas, Xinjian Qi, Necmi Acarsoy
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Genome-scale reconstructed metabolic networks have provided an organism specific understanding of cellular processes and their relations to phenotype. As they are deemed essential to study metabolism, the number of organisms with reconstructed metabo
Autor:
Joseph E. Aslan, Anil Korkut, Funda Durupinar, Ugur Dogrusoz, Augustin Luna, Chris Sander, Özgün Babur, Metin Can Siper, Emek Demir
Publikováno v:
STAR Protocols
STAR Protocols, Vol 2, Iss 4, Pp 100955-(2021)
STAR Protocols, Vol 2, Iss 4, Pp 100955-(2021)
Summary CausalPath (causalpath.org) evaluates proteomic measurements against prior knowledge of biological pathways and infers causality between changes in measured features, such as global protein and phospho-protein levels. It uses pathway resource
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::524a9797a7fb521e0fa20812ecb2c095
https://hdl.handle.net/11693/76731
https://hdl.handle.net/11693/76731
Autor:
Igor Rodchenkov, Max Franz, Benjamin M. Gyori, Emek Demir, John M Giorgi, Jeffrey V. Wong, Christian Dallago, Funda Durupinar, Dylan Fong, Chris Sander, John A. Bachman, Metin Can Siper, Augustin Luna, Gary D. Bader, Özgün Babur
Technological advances in computing provide major opportunities to accelerate scientific discovery. The wide availability of structured knowledge would allow us to take full advantage of these by enabling efficient human-computer interaction. Traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f9dbb18896e635d745a0fc2aaa03ee5
https://doi.org/10.1101/2021.03.10.382333
https://doi.org/10.1101/2021.03.10.382333
Autor:
Funda Durupinar, Chris Sander, Anil Korkut, Karen E. Christianson, Joseph E. Aslan, Emek Demir, Ryan Peckner, Özgün Babur, Jacob D. Jaffe, Augustin Luna, Metin Can Siper, Ugur Dogrusoz, Paul T. Spellman, Alvaro Sebastian Vaca Jacome
Publikováno v:
Patterns
Patterns, Vol 2, Iss 6, Pp 100257-(2021)
Patterns, Vol 2, Iss 6, Pp 100257-(2021)
Summary We present a computational method to infer causal mechanisms in cell biology by analyzing changes in high-throughput proteomic profiles on the background of prior knowledge captured in biochemical reaction knowledge bases. The method mimics a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5de403fdce77c49680f8f3ad40b1a58f
https://aperta.ulakbim.gov.tr/record/230538
https://aperta.ulakbim.gov.tr/record/230538
Autor:
Jeffrey Wong, Max Franz, Metin Can Siper, Dylan Fong, Funda Durupinar, Christian Dallago, Augustin Luna, John M. Giorgi, Igor Rodchenkov, Özgün Babur, John A. Bachman, Benjamin M. Gyori, Emek Demir, Gary Bader, Chris Sander
Technological advances in computing provide major opportunities to complement human reasoning and to dramatically speed up science - but only if structured knowledge is available to enable efficient communication between humans and computers. Traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a5338412e4b62a300674a79958fdb80
https://doi.org/10.31219/osf.io/zep3x
https://doi.org/10.31219/osf.io/zep3x