CoRe.extract_tissueType_SubMatrix | R Documentation |
Extracting Dependency SubMatrix for a given tissue or cancer type.
CoRe.extract_tissueType_SubMatrix(fullDepMat, tissue_type="Non-Small Cell Lung Carcinoma")
fullDepMat |
Dependency Matrix containing all cell models. For example, downloadable from Project Score [1,2] using the function |
tissue_type |
Character, name of tissue/cancer type of interest. If the dependency matrix is from Project Score [1,2] this needs to be compatible with the nomeclature used in the Cell Model Passports [3]. Cell line annotations can be downloaded from the Cell Model Passports using the function |
Extracting Dependency SubMatrix for a given tissue or cancer type, among those included in the latest model annotation file on the cell model passports [1][2].
Dependency SubMatrix
cs_depmat |
Dependency Submatrix containing data only for the cell lines from the tissue/cancer-type of interest. |
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] 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.
[3] Van der Meer D, Barthorpe S, Yang W, et al. Cell Model Passports—a hub for clinical, genetic and functional datasets of preclinical cancer models. Nucleic Acids Research 2019; 47(D1):D923–D929. doi:10.1093/nar/gky872.
## Downloading dependency matrix from [1,2] ## for > 300 cancer cell lines from BinDepMat<-CoRe.download_BinaryDepMatrix() ## Subset Binary Dependency Matrix based on "Non-Small Cell Lung Carcinoma" cancer type LungDepMat<-CoRe.extract_tissueType_SubMatrix(BinDepMat,tissue_type="Non-Small Cell Lung Carcinoma") head(LungDepMat)
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