
SynTwin is a host-aware digital twin framework for quantitative identification of intrinsic gene expression biopart parameters using combinatorial libraries under growth-dependent resource constraints.
If you use this software, please cite it as below.
digital twin, gene expression, synthetic biology, host-aware modeling, parameter estimation
digital twin, gene expression, synthetic biology, host-aware modeling, parameter estimation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
