CellTrans: An R package to quantify stochastic cell state transitions

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

Thomas Buder - , Center for Information Services and High Performance Computing (ZIH), Dresden University of Applied Sciences (HTW) (Author)
Andreas Deutsch - , Dresden University of Applied Sciences (HTW) (Author)
Michael Seifert - , Institute for Medical Informatics and Biometry, National Center for Tumor Diseases Dresden (Author)
Anja Voss-Böhme - , Center for Information Services and High Performance Computing (ZIH), Dresden University of Applied Sciences (HTW) (Author)

Original language	English
Pages (from-to)	1-14
Number of pages	14
Journal	Bioinformatics and Biology Insights
Volume	11
Publication status	Published - 2017
Peer-reviewed	Yes

Scopus	85044599353
ORCID	/0000-0002-2844-053X/work/169643499