Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects.
Joshua M DempsterIsabella BoyleFrancisca VazquezDavid E RootJesse S BoehmWilliam C HahnAviad TsherniakJames M McFarlandPublished in: Genome biology (2021)
CRISPR loss of function screens are powerful tools to interrogate biology but exhibit a number of biases and artifacts that can confound the results. Here, we introduce Chronos, an algorithm for inferring gene knockout fitness effects based on an explicit model of cell proliferation dynamics after CRISPR gene knockout. We test Chronos on two pan-cancer CRISPR datasets and one longitudinal CRISPR screen. Chronos generally outperforms competitors in separation of controls and strength of biomarker associations, particularly when longitudinal data is available. Additionally, Chronos exhibits the lowest copy number and screen quality bias of evaluated methods. Chronos is available at https://github.com/broadinstitute/chronos .
Keyphrases
- genome wide
- copy number
- dna methylation
- mitochondrial dna
- genome editing
- crispr cas
- cell proliferation
- single cell
- physical activity
- body composition
- high throughput
- machine learning
- rna seq
- stem cells
- electronic health record
- squamous cell carcinoma
- young adults
- mass spectrometry
- quality improvement
- transcription factor
- image quality