Learning perturbation-inducible cell states of novel compounds from observability analysis of transcriptome dynamics
Aqib Hasnain, Shara Balakrishnan, Dennis M. Joshy, Jen Smith, Steven B. Haase, Enoch Yeung
The paper develops a machine learning approach to identify perturbation-inducible genes from time-series RNA-seq data, applying it to discover malathion-responsive promoters in Pseudomonas fluorescens.
bioRxiv · May 27, 2022 · PreprintSynthetic Biology