Zobrazeno 1 - 10
of 966
pro vyhledávání: '"Ahrends A"'
Autor:
Vidaurre, Diego, Masaracchia, Laura, Larsen, Nick Y., Ruijters, Lenno R. P. T, Alonso, Sonsoles, Ahrends, Christine, Woolrich, Mark W.
We propose the Gaussian-Linear Hidden Markov model (GLHMM), a generalisation of different types of HMMs commonly used in neuroscience. In short, the GLHMM is a general framework where linear regression is used to flexibly parameterise the Gaussian st
Externí odkaz:
http://arxiv.org/abs/2312.07151
Autor:
Federico Torta, Nils Hoffmann, Bo Burla, Irina Alecu, Makoto Arita, Takeshi Bamba, Steffany A. L. Bennett, Justine Bertrand-Michel, Britta Brügger, Mónica P. Cala, Dolores Camacho-Muñoz, Antonio Checa, Michael Chen, Michaela Chocholoušková, Michelle Cinel, Emeline Chu-Van, Benoit Colsch, Cristina Coman, Lisa Connell, Bebiana C. Sousa, Alex M. Dickens, Maria Fedorova, Finnur Freyr Eiríksson, Hector Gallart-Ayala, Mohan Ghorasaini, Martin Giera, Xue Li Guan, Mark Haid, Thomas Hankemeier, Amy Harms, Marcus Höring, Michal Holčapek, Thorsten Hornemann, Chunxiu Hu, Andreas J. Hülsmeier, Kevin Huynh, Christina M. Jones, Julijana Ivanisevic, Yoshihiro Izumi, Harald C. Köfeler, Sin Man Lam, Mike Lange, Jong Cheol Lee, Gerhard Liebisch, Katrice Lippa, Andrea F. Lopez-Clavijo, Malena Manzi, Manuela R. Martinefski, Raviswamy G. H. Math, Satyajit Mayor, Peter J. Meikle, María Eugenia Monge, Myeong Hee Moon, Sneha Muralidharan, Anna Nicolaou, Thao Nguyen-Tran, Valerie B. O’Donnell, Matej Orešič, Arvind Ramanathan, Fabien Riols, Daisuke Saigusa, Tracey B. Schock, Heidi Schwartz-Zimmermann, Guanghou Shui, Madhulika Singh, Masatomo Takahashi, Margrét Thorsteinsdóttir, Noriyuki Tomiyasu, Anthony Tournadre, Hiroshi Tsugawa, Victoria J. Tyrrell, Grace van der Gugten, Michael O. Wakelam, Craig E. Wheelock, Denise Wolrab, Guowang Xu, Tianrun Xu, John A. Bowden, Kim Ekroos, Robert Ahrends, Markus R. Wenk
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract In this community effort, we compare measurements between 34 laboratories from 19 countries, utilizing mixtures of labelled authentic synthetic standards, to quantify by mass spectrometry four clinically used ceramide species in the NIST (Na
Externí odkaz:
https://doaj.org/article/e8653562ef70466097f27cb7fad363e8
Autor:
Heimpel, Ellen, Ahrends, Antje, Dexter, Kyle G., Hall, Jefferson S., Mamboueni, Josérald, Medjibe, Vincent P., Morgan, David, Sanz, Crickette, Harris, David J.
Publikováno v:
Plant Ecology and Evolution, 2024 Jan 01. 157(1), 55-74.
Externí odkaz:
https://www.jstor.org/stable/48770171
Autor:
Ahrends, Christine, Vidaurre, Diego
Most generally, dynamic functional connectivity (FC) refers to the non-instantaneous couplings across timeseries from a set of brain areas, here as measured by fMRI. This is in contrast to static FC, which is defined as purely instantaneous relations
Externí odkaz:
http://arxiv.org/abs/2301.03408
Autor:
Dominik Kopczynski, Christer S. Ejsing, Jeffrey G. McDonald, Takeshi Bamba, Erin S. Baker, Justine Bertrand-Michel, Britta Brügger, Cristina Coman, Shane R. Ellis, Timothy J. Garrett, William J. Griffiths, Xue Li Guan, Xianlin Han, Marcus Höring, Michal Holčapek, Nils Hoffmann, Kevin Huynh, Rainer Lehmann, Jace W. Jones, Rima Kaddurah-Daouk, Harald C. Köfeler, Peter J. Meikle, Thomas O. Metz, Valerie B. O’Donnell, Daisuke Saigusa, Dominik Schwudke, Andrej Shevchenko, Federico Torta, Juan Antonio Vizcaíno, Ruth Welti, Markus R. Wenk, Denise Wolrab, Yu Xia, Kim Ekroos, Robert Ahrends, Gerhard Liebisch
Publikováno v:
Journal of Lipid Research, Vol 65, Iss 9, Pp 100621- (2024)
The rapid increase in lipidomic studies has led to a collaborative effort within the community to establish standards and criteria for producing, documenting, and disseminating data. Creating a dynamic easy-to-use checklist that condenses key informa
Externí odkaz:
https://doaj.org/article/3fdedc2e62704f2cb1a553af8d558f83
Autor:
Kopczynski, Dominik, Ejsing, Christer S., McDonald, Jeffrey G., Bamba, Takeshi, Baker, Erin S., Bertrand-Michel, Justine, Brügger, Britta, Coman, Cristina, Ellis, Shane R., Garrett, Timothy J., Griffiths, William J., Guan, Xue Li, Han, Xianlin, Höring, Marcus, Holčapek, Michal, Hoffmann, Nils, Huynh, Kevin, Lehmann, Rainer, Jones, Jace W., Kaddurah-Daouk, Rima, Köfeler, Harald C., Meikle, Peter J., Metz, Thomas O., O’Donnell, Valerie B., Saigusa, Daisuke, Schwudke, Dominik, Shevchenko, Andrej, Torta, Federico, Vizcaíno, Juan Antonio, Welti, Ruth, Wenk, Markus R., Wolrab, Denise, Xia, Yu, Ekroos, Kim, Ahrends, Robert, Liebisch, Gerhard
Publikováno v:
In Journal of Lipid Research September 2024 65(9)
Autor:
Ellen Heimpel, Antje Ahrends, Kyle G. Dexter, Jefferson S. Hall, Josérald Mamboueni, Vincent P. Medjibe, David Morgan, Crickette Sanz, David J. Harris
Publikováno v:
Plant Ecology and Evolution, Vol 157, Iss 1, Pp 55-74 (2024)
Background and aims – The forests of the Congo Basin contain high levels of biodiversity, and are globally important for carbon storage. In order to design effective conservation strategies, and to accurately model carbon stocks, a fine-scale under
Externí odkaz:
https://doaj.org/article/c96d264f837e4a309d8fc1aab1437359
Autor:
Christian Simanjuntak, Thomas Gaiser, Hella Ellen Ahrends, Andrej Ceglar, Manmeet Singh, Frank Ewert, Amit Kumar Srivastava
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Extreme climate events can have a significant negative impact on maize productivity, resulting in food scarcity and socioeconomic losses. Thus, quantifying their effect is needed for developing future adaptation and mitigation strategies, es
Externí odkaz:
https://doaj.org/article/e13ceedbe78045a980048217a405eafc
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