A. (Andreas) Milias Argeitis, Dr

Tenure-track assistant professor

Faculty of Science and Engineering

Telephone:

+31 50 36 36225

E-mail:

a.milias.argeitis rug.nl

ORCID Research Portal

Publications

A convolutional neural network for segmentation of yeast cells without manual training annotations

Kruitbosch, H. , Mzayek, Y. , Omlor, S. , Guerra, P. & Milias-Argeitis, A. , 1-Mar-2022 , In: Bioinformatics (Oxford, England). 38 , 5 , p. 1427-1433 7 p. , btab835.

Research output: Contribution to journal › Article › Academic › peer-review

A user-friendly and streamlined protocol for CRISPR/Cas9 genome editing in budding yeast

Novarina, D. , Koutsoumpa, A. & Milias-Argeitis, A. , 17-Jun-2022 , In: STAR protocols. 3 , 2 , 42 p. , 101358.

Research output: Contribution to journal › Article › Academic › peer-review

Systematic In Vivo Characterization of Fluorescent Protein Maturation in Budding Yeast

Guerra, P. , Vuillemenot, L-A. , Rae, B. , Ladyhina, V. & Milias-Argeitis, A. , Apr-2022 , In: ACS Synthetic Biology. 11 , 3 , p. 1129-1141 13 p. , acssynbio.1c00387.

Research output: Contribution to journal › Article › Academic › peer-review

The timing of Start is determined primarily by increased synthesis of the Cln3 activator rather than dilution of the Whi5 inhibitor

Litsios, A. , Goswami, P. , Terpstra, H. M. , Coffin, C. , Vuillemenot, L-A. , Rovetta, M. , Ghazal, G. , Guerra, P. , Buczak, K. , Schmidt, A. , Tollis, S. , Tyers, M. , Royer, C. A. , Milias-Argeitis, A. & Heinemann, M. , 1-May-2022 , In: Molecular Biology of the Cell. 33 , 5 , 14 p. , rp2.

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

Moment-based uncertainty propagation for deterministic biochemical network models with rational reaction rates

Kurdyaeva, T. & Milias Argeitis, A. , 2021 , Proceedings of the European Control Conference 2021. EUCA

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Uncertainty propagation for deterministic models of biochemical networks using moment equations and the extended Kalman filter

Kurdyaeva, T. & Milias-Argeitis, A. , Aug-2021 , In: Journal of the Royal Society Interface. 18 , 181 , 20210331.

Research output: Contribution to journal › Article › Academic › peer-review

Vacuolar Localization via the N-terminal Domain of Sch9 is Required for TORC1-dependent Phosphorylation and Downstream Signal Transduction

Novarina, D. , Guerra, P. & Milias-Argeitis, A. , 3-Dec-2021 , In: Journal of Molecular Biology. 433 , 24 , 167326.

Research output: Contribution to journal › Article › Academic › peer-review

Derivation of moment equations for a nonlinear gene expression model with initial condition and parameter uncertainty

Milias Argeitis, A. & Kurdyaeva, T. , 2020 .

Research output: Working paper › Academic

Differential scaling between G1 protein production and cell size dynamics promotes commitment to the cell division cycle in budding yeast

Litsios, A. , Huberts, D. H. E. W. , Terpstra, H. M. , Guerra, P. , Schmidt, A. , Buczak, K. , Papagiannakis, A. , Rovetta, M. , Hekelaar, J. , Hubmann, G. , Exterkate, M. , Milias-Argeitis, A. & Heinemann, M. , 4-Nov-2019 , In: Nature Cell Biology. 21 , 11 , p. 1382-1392 11 p.

Research output: Contribution to journal › Article › Academic › peer-review

Efficient global sensitivity analysis of biochemical networks using Gaussian process regression

Kurdyaeva, T. & Milias-Argeitis, A. , 18-Jan-2019 , 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc. , p. 2673-2678 6 p. 8618902. (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review