essential_lfc_qc: Computes essential gene recovery AUC.
In HenryWard/orthrus: Scoring Combinatorial CRISPR Screens
essential_lfc_qc R Documentation
Computes essential gene recovery AUC.
Description
Computes area under the curve for ROC curves that measure how well each technical replicate
recovers signal for essential-targeting guides. Only computes AUC for guides that target
essential genes twice, guides that target two different essential genes, or guides that
target an essential gene and an intergenic region.
Usage
essential_lfc_qc(df, screens, negative_controls = NULL)
Arguments
df
LFC dataframe.
screens
List of screens generated with add_screens.
negative_controls
List of negative control genes to append to default list of
non-essential genes (default NULL).
Value
Returns a dataframe with three columns for replicate name, essential AUC relative
to all other genes, and essential AUC relative to a specified set of non-essentials.
HenryWard/orthrus documentation built on June 2, 2023, 10:28 p.m.
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| essential_lfc_qc | R Documentation |
Computes essential gene recovery AUC.
Description
Computes area under the curve for ROC curves that measure how well each technical replicate recovers signal for essential-targeting guides. Only computes AUC for guides that target essential genes twice, guides that target two different essential genes, or guides that target an essential gene and an intergenic region.
Usage
essential_lfc_qc(df, screens, negative_controls = NULL)
Arguments
df |
LFC dataframe. |
screens |
List of screens generated with |
negative_controls |
List of negative control genes to append to default list of non-essential genes (default NULL). |
Value
Returns a dataframe with three columns for replicate name, essential AUC relative to all other genes, and essential AUC relative to a specified set of non-essentials.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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