Zobrazeno 1 - 10
of 1 286
pro vyhledávání: '"Ronan, M. T."'
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-17 (2024)
Abstract Many studies have reported metabolomic analysis of different bio-specimens from Parkinson’s disease (PD) patients. However, inconsistencies in reported metabolite concentration changes make it difficult to draw conclusions as to the role o
Externí odkaz:
https://doaj.org/article/99aa8c8bfcb746ab8d44e4a7599a90a8
Autor:
Alise Zagare, German Preciat, Sarah. L. Nickels, Xi Luo, Anna S. Monzel, Gemma Gomez-Giro, Graham Robertson, Christian Jaeger, Jafar Sharif, Haruhiko Koseki, Nico J. Diederich, Enrico Glaab, Ronan M. T. Fleming, Jens C. Schwamborn
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
Abstract The vast majority of Parkinson’s disease cases are idiopathic. Unclear etiology and multifactorial nature complicate the comprehension of disease pathogenesis. Identification of early transcriptomic and metabolic alterations consistent acr
Externí odkaz:
https://doaj.org/article/1c777ab6bc7a41ed91833568c4533468
Motivation: Manual curation of genome-scale reconstructions is laborious, yet existing automated curation tools typically do not take species-specific experimental data and manually refined genome annotations into account. Results: We developed DEMET
Externí odkaz:
http://arxiv.org/abs/2106.06638
Akademický článek
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We present two globally convergent Levenberg-Marquardt methods for finding zeros of H\"{o}lder metrically subregular mappings that may have non-isolated zeros. The first method unifies the Levenberg- Marquardt direction and an Armijo-type line search
Externí odkaz:
http://arxiv.org/abs/1812.00818
Akademický článek
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Autor:
Heirendt, Laurent, Arreckx, Sylvain, Trefois, Christophe, Yarosz, Yohan, Vyas, Maharshi, Satagopam, Venkata P., Schneider, Reinhard, Thiele, Ines, Fleming, Ronan M. T.
Motivation: Automatically testing changes to code is an essential feature of continuous integration. For open-source code, without licensed dependencies, a variety of continuous integration services exist. The COnstraint-Based Reconstruction and Anal
Externí odkaz:
http://arxiv.org/abs/1712.05236
Autor:
Heirendt, Laurent, Arreckx, Sylvain, Pfau, Thomas, Mendoza, Sebastián N., Richelle, Anne, Heinken, Almut, Haraldsdóttir, Hulda S., Wachowiak, Jacek, Keating, Sarah M., Vlasov, Vanja, Magnusdóttir, Stefania, Ng, Chiam Yu, Preciat, German, Žagare, Alise, Chan, Siu H. J., Aurich, Maike K., Clancy, Catherine M., Modamio, Jennifer, Sauls, John T., Noronha, Alberto, Bordbar, Aarash, Cousins, Benjamin, Assal, Diana C. El, Valcarcel, Luis V., Apaolaza, Iñigo, Ghaderi, Susan, Ahookhosh, Masoud, Guebila, Marouen Ben, Kostromins, Andrejs, Sompairac, Nicolas, Le, Hoai M., Ma, Ding, Sun, Yuekai, Wang, Lin, Yurkovich, James T., Oliveira, Miguel A. P., Vuong, Phan T., Assal, Lemmer P. El, Kuperstein, Inna, Zinovyev, Andrei, Hinton, H. Scott, Bryant, William A., Artacho, Francisco J. Aragón, Planes, Francisco J., Stalidzans, Egils, Maass, Alejandro, Vempala, Santosh, Hucka, Michael, Saunders, Michael A., Maranas, Costas D., Lewis, Nathan E., Sauter, Thomas, Palsson, Bernhard Ø., Thiele, Ines, Fleming, Ronan M. T.
COnstraint-Based Reconstruction and Analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Too
Externí odkaz:
http://arxiv.org/abs/1710.04038
We describe and analyse Levenberg-Marquardt methods for solving systems of nonlinear equations. More specifically, we propose an adaptive formula for the Levenberg-Marquardt parameter and analyse the local convergence of the method under H\"{o}lder m
Externí odkaz:
http://arxiv.org/abs/1703.07461
Motivation: Flux balance analysis, and its variants, are widely used methods for predicting steady-state reaction rates in biochemical reaction networks. The exploration of high dimensional networks with such methods is currently hampered by software
Externí odkaz:
http://arxiv.org/abs/1611.04743