gene_summary | R Documentation |
The 'gene_summary' dataset contains the 22Q1 gene essentiality probabilities for select genes. This dataset can be loaded into the R environment with the 'depmap_gene_summary' function.
gene_summary
A data frame with 69746 rows (cell lines) and 7 variables:
Entrez ID# (e.g. 100316904)
HUGO symbol (e.g. "SAP25")
which dataset this probability derives
number of dependent cell lines
number of cell lines with relevant dependency data
Gene knockout is selective (not pan-lethal)
common essential gene dependency
This data represents the 'Gene Dependency Profile Summary.csv' file taken from the 22Q1 [Broad Institute](https://depmap.org/portal/api/download/gene_dep_summary) release.
- 22Q1: Initial dataset
- 22Q2: no change, no further releases are scheduled at this time.
DepMap, Broad Institute: https://depmap.org/portal/download/
Tsherniak, A., Vazquez, F., Montgomery, P. G., Weir, B. A., Kryukov, G., Cowley, G. S., ... & Meyers, R. M. (2017). Defining a cancer dependency map. Cell, 170(3), 564-576.
James M. McFarland, Zandra V. Ho, Guillaume Kugener, Joshua M. Dempster, Phillip G. Montgomery, Jordan G. Bryan, John M. Krill-Burger, Thomas M. Green, Francisca Vazquez, Jesse S. Boehm, Todd R. Golub, William C. Hahn, David E. Root, Aviad Tsherniak. (2018). Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration. Nature Communications 9, 1.
## Not run:
depmap_gene_summary()
## End(Not run)
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