Parameter inference method for stochastic single-cell dynamics from tree-structured data

Autor: Kuzmanovska, Irena, Milias-Argeitis, Andreas, Zechner, Christoph, Khammash, Mustafa

With the advance of experimental techniques such as time-lapse fluorescence microscopy, the availability of single-cell trajectory data has vastly increased, and so has the demand for computational methods suitable for parameter inference with this t

Externí odkaz: http://arxiv.org/abs/1605.05517

AVETH Survey on Supervision of Doctoral Students

Autor: Jacob, Romain, Kuzmanovska, Irena, Ripin, Nina

Good supervision is a key factor for the success of doctoral studies. But there are multiple good ways. Depending on the field of studies, the supervisor ‘style’, and the students’ specific needs, multiple approaches can lead to good results. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f9bb660135a00858a0a2ec25de90c5a
https://hdl.handle.net/20.500.11850/262661

AVETH follow-up survey on salary and duties of ETH doctoral students

Autor: Schalko, Isabella, Jacob, Romain, Kuzmanovska, Irena

The present survey was conducted as a follow-up of the AVETH survey in 2014. Based on 1′052 completed answers this report summarizes the current employment situation and the corresponding opinion of doctoral students at ETH Zurich about their salar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d1b8ca0f8241d8fedd95f061b58947
https://hdl.handle.net/20.500.11850/200614

Parameter inference for stochastic single-cell dynamics from lineage tree data

Autor: Kuzmanovska, Irena, Milias-Argeitis, Andreas, Mikelson, Jan, Zechner, Christoph, Khammash, Mustafa Hani

Publikováno v: BMC Systems Biology
BMC Systems Biology, 11(52):52. BMC
BMC Systems Biology, Vol 11, Iss 1, Pp 1-13 (2017)
BMC Systems Biology, 11

Background: With the advance of experimental techniques such as time-lapse fluorescence microscopy, the availability of single-cell trajectory data has vastly increased, and so has the demand for computational methods suitable for parameter inference

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee60c6831ba44ca4a1a9468732776c32
https://pubmed.ncbi.nlm.nih.gov/28446158