CoRe.download_DepMatrix | R Documentation |
Downloading Quantitative Dependency Matrix introduced in Behan 2019 from Project Score [1,3].
CoRe.download_DepMatrix( URL='https://cog.sanger.ac.uk/cmp/download/essentiality_matrices.zip', scaled=FALSE, ess=NULL, noness=NULL)
URL |
URL pointing to the online location of a zipped folder containing a quantitative dependency matrix. By default this will point to an entry on the data download page of the Project Score portal with data from [1]. |
scaled |
Boolean, default is FALSE. Should the Quantitative Dependency matrix be scaled using reference set of essential and non essential genes (provided in input), as detailed in [2]. |
ess |
Vector of gene symbols to be used as reference essential genes. Ignored if |
noness |
Vector of gene symbols to be used as reference non-essential genes. Ignored if |
If the URL points to a valid online location this function downloads a quantitative Dependency Matrix.
A Dependency Matrix (from [1,3]) where rows are genes and columns are cell lines. The entry in position [i,j] quantifies the effect of the inactivation of the i-th gene on the survival of the j-th cell line (its fitness).
C. Pacini, E. Karakoc, A. Vinceti & F. Iorio
[1] Behan FM, Iorio F, Picco G, Gonçalves E, Beaver CM, Migliardi G, et al. Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens. Nature. 2019;568:511–6.
[2] Meyers RM, Bryan JG, McFarland JM, et al. Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells. Nat Genet. 2017 Dec;49(12):1779-1784. doi: 10.1038/ng.3984.
[3] Dwane L, Behan FM, Gonçalves E, et al. Project Score database: a resource for investigating cancer cell dependencies and prioritizing therapeutic targets. Nucleic Acids Res. 2021 Jan 8;49(D1):D1365-D1372.
## loading reference set of essential/non-essential genes data(curated_BAGEL_essential) data(curated_BAGEL_nonEssential) ## Downloading unscaled Quantitative Dependency Matrix ## for > 300 cancer cell lines from [1] DepMat<-CoRe.download_DepMatrix() head(DepMat) ## Downloading and scaling Quantitative Dependency Matrix DepMat_scaled<-CoRe.download_DepMatrix(scaled=TRUE, ess = curated_BAGEL_essential, noness = curated_BAGEL_nonEssential) head(DepMat_scaled)
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