The platform will undergo maintenance on Sep 14 at about 9:30 AM EST and will be unavailable for approximately 1 hour.
2022
DOI: 10.1016/j.celrep.2022.111145
|View full text |Cite
|
Sign up to set email alerts
|

Reduced gene templates for supervised analysis of scale-limited CRISPR-Cas9 fitness screens

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2
2

Relationship

3
1

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 54 publications
0
2
0
Order By: Relevance
“…The ability to discriminate prior known essential and non-essential genes based on their depletion LFC observed in a CRISPR-Cas9 recessive screen is widely used to assess the quality of that screen 3,5,7,9,10,23,26,27 .…”
Section: Screens Classification Performancesmentioning
confidence: 99%
“…The ability to discriminate prior known essential and non-essential genes based on their depletion LFC observed in a CRISPR-Cas9 recessive screen is widely used to assess the quality of that screen 3,5,7,9,10,23,26,27 .…”
Section: Screens Classification Performancesmentioning
confidence: 99%
“…This approach is supported by the structure evident in the screen results, where very similar effects can be observed for multiple perturbations or different genes respond in synchrony across all of them. The concept of compressing perturbations has been used from model organism genetics (21) to cancer cell line characterization and relies on statistical reconstruction to balance experiment size against the chosen objective, for example, to explain variance in all outcomes, measure representatives in many categories, or even simply randomly choose the genes (15,104). Analogously, the outputs can be focused to obtain high-quality data from a key set of genes or to measure only an informative subset that allows the rest to be predicted (84,93).…”
Section: Scaling Downmentioning
confidence: 99%