Candan Çelik

Candan Çelik

PhD

About

4
Publications
182
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
7
Citations
Citations since 2017
4 Research Items
7 Citations
2017201820192020202120222023012345
2017201820192020202120222023012345
2017201820192020202120222023012345
2017201820192020202120222023012345
Additional affiliations
September 2019 - June 2020
Comenius University Bratislava
Position
  • Graduate Teaching Assistant
Description
  • Markov processes I-II
Education
September 2018 - June 2022
Comenius University Bratislava
Field of study
  • Applied Mathematics
January 2014 - January 2016
Ege University
Field of study
  • Applied Mathematics
September 2009 - July 2013
Ege University
Field of study
  • Mathematics

Publications

Publications (4)
Chapter
Chemical reaction networks involving molecular species at low copy numbers lead to stochasticity in protein levels in gene expression at the single-cell level. Mathematical modelling of this stochastic phenomenon enables us to elucidate the underlying molecular mechanisms quantitatively. Here we present a two-stage stochastic gene expression model...
Chapter
Regulatory molecules such as transcription factors are often present at relatively small copy numbers in living cells. The copy number of a particular molecule fluctuates in time due to the random occurrence of production and degradation reactions. Here we consider a stochastic model for a self-regulating transcription factor whose lifespan (or tim...
Preprint
Full-text available
Chemical reaction networks involving molecular species at low copy numbers lead to stochasticity in protein levels in gene expression at the single-cell level. Mathematical modelling of this stochastic phenomenon enables us to elucidate the underlying molecular mechanisms quantitatively. Here we present a two-stage stochastic gene expression model...
Preprint
Full-text available
Regulatory molecules such as transcription factors are often present at relatively small copy numbers in living cells. The copy number of a particular molecule fluctuates in time due to the random occurrence of production and degradation reactions. Here we consider a stochastic model for a self-regulating transcription factor whose lifespan (or tim...

Network