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Marija Cvijovic
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2020 – today
- 2023
- [j10]Marija Cvijovic, Annikka Polster:
Network medicine: facilitating a new view on complex diseases. Frontiers Bioinform. 3 (2023) - 2022
- [j9]Sebastian Persson, Niek Welkenhuysen, Sviatlana Shashkova
, Samuel Wiqvist
Scalable and flexible inference framework for stochastic dynamic single-cell models. PLoS Comput. Biol. 18(5) (2022) - [j8]Barbara Schnitzer
Multi-scale model suggests the trade-off between protein and ATP demand as a driver of metabolic changes during yeast replicative ageing. PLoS Comput. Biol. 18(7) (2022) - 2021
- [j7]Linnea Österberg
A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism. PLoS Comput. Biol. 17(4) (2021) - 2020
- [j6]Barbara Schnitzer
The synergy of damage repair and retention promotes rejuvenation and prolongs healthy lifespans in cell lineages. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2017
- [j5]Niek Welkenhuysen, Johannes Borgqvist
Single-cell study links metabolism with nutrient signaling and reveals sources of variability. BMC Syst. Biol. 11(1): 59:1-59:10 (2017) - 2013
- [j4]Kwanjeera Wanichthanarak, Marija Cvijovic, Andrea Molt, Dina Petranovic
yApoptosis: yeast apoptosis database. Database J. Biol. Databases Curation 2013 (2013) - 2010
- [j3]Marija Cvijovic, Roberto Olivares-Hernández
BioMet Toolbox: genome-wide analysis of metabolism. Nucleic Acids Res. 38(Web-Server-Issue): 144-149 (2010)
2000 – 2009
- 2007
- [j2]Marija Cvijovic, Daniel Dalevi, Elizabeth Bilsland
Identification of putative regulatory upstream ORFs in the yeast genome using heuristics and evolutionary conservation. BMC Bioinform. 8 (2007) - 2006
- [j1]Selpi, Christopher H. Bryant
A First Step towards Learning which uORFs Regulate Gene Expression. J. Integr. Bioinform. 3(2) (2006)
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