Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aysun Urhan"'
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
The success of antibiotics as a therapeutic agent has led to their ineffectiveness. The continuous use and misuse in clinical and non-clinical areas have led to the emergence and spread of antibiotic-resistant bacteria and its genetic determinants. T
Externí odkaz:
https://doaj.org/article/b8bcfa4f6736417d968fb84b99d978a3
Autor:
Aysun Urhan, Thomas Abeel
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Coronavirus disease 2019 (COVID-19) has emerged in December 2019 when the first case was reported in Wuhan, China and turned into a pandemic with 27 million (September 9th) cases. Currently, there are over 95,000 complete genome sequences of
Externí odkaz:
https://doaj.org/article/9c1c0c7c65b2453bac5a35c169170efe
Autor:
Julia A. Schwartzman, Francois Lebreton, Rauf Salamzade, Melissa J. Martin, Katharina Schaufler, Aysun Urhan, Thomas Abeel, Ilana L.B.C Camargo, Bruna F. Sgardioli, Janira Prichula, Ana Paula Guedes Frazzon, Daria Van Tyne, Gregg Treinish, Charles J. Innis, Jaap A. Wagenaar, Ryan M. Whipple, Abigail L. Manson, Ashlee M. Earl, Michael S. Gilmore
Publikováno v:
bioRxiv
Bacteria of the genusEnterococcuscolonize the guts of diverse animals. Some species have acquired multiple antibiotic resistances on top of a high level of intrinsic resistance and have emerged as leading causes of hospital-associated infection. Alth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef20dedb8d3342473d7aeffa41b654a5
https://doi.org/10.1101/2023.05.18.540996
https://doi.org/10.1101/2023.05.18.540996
Publikováno v:
bioRxiv
MotivationToday, we know the function of only a small fraction of all known protein sequences identified. This problem is even more salient in bacteria as human-centric studies are prioritized in the field and there is much to uncover in the bacteria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3638d92eaca4cd264a9028d0e29203b9
https://europepmc.org/articles/PMC10187222/
https://europepmc.org/articles/PMC10187222/
Autor:
Burak Alakent, Aysun Urhan
Publikováno v:
Neurocomputing. 392:23-37
Most applications of soft sensors in process industries require learning from a stream of data, which may exhibit nonstationary dynamics, or concept drift. In this study, we develop a relevance vector machine (RVM) based novel adaptive learning algor
Autor:
Aysun, Urhan, Thomas, Abeel
Publikováno v:
Microbial Genomics
Microbial organisms have diverse populations, where using a single linear reference sequence in comparative studies introduces reference-bias in downstream analyses, and leads to a failure to account for variability in the population. Recently, pan-g
Autor:
Thomas Abeel, Aysun Urhan
Publikováno v:
Scientific Reports, 11(1)
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Scientific Reports
Coronavirus disease 2019 (COVID-19) has emerged in December 2019 when the first case was reported in Wuhan, China and turned into a pandemic with 27 million (September 9th) cases. Currently, there are over 95,000 complete genome sequences of the seve
Data-driven soft-sensors are statistical models constructed from historical data, and expected to perform well both in normal and novel process conditions. Numerous adaptive mechanisms for soft-sensors have been developed, but more work is required t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9caa88a382921e38874f8951b17fe066
https://doi.org/10.1016/b978-0-444-64241-7.50373-6
https://doi.org/10.1016/b978-0-444-64241-7.50373-6