The temporal nature of the transcriptome is important for understanding many biological processes, but it is challenging to measure. By leveraging datasets with multiple time series, Woicik and colleagues present a model that accurately extrapolates genomic measurements to unmeasured timepoints, including developmental gene expression, drug-induced perturbations and cancer gene mutations.
- Addie Woicik
- Mingxin Zhang
- Sheng Wang
