Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq.
Genome-scale Perturb-seq (Replogle et al.): K562/RPE1 benchmark data.
- Authors / organisation
- Replogle JM et al.
- Venue
- Cell
- Date
- 2022-06-09
- Type
- dataset
- Year
- 2022
- DOI
- 10.1016/j.cell.2022.05.013
- PMID
- 35688146
- Verification
- Europe PMC
Cited by GlioState topics
- AI virtual cell models (Models)
- Perturbation data for glioblastoma: radiotherapy, drugs and CRISPR (Perturbations)
Entities mentioned
- Perturb-seq Methods & concepts
- Genome-scale Perturb-seq Datasets