CELLector.CFEs.CNAid_decode | R Documentation |
A table with identifiers of cancer functional events (CFEs) involving chromosomal regions of recurrent copy number alterations (RACSs, as defined by [1], i.e. identified throgh ADMIRE [2]) and their annotation.
data("CELLector.CFEs.CNAid_decode")
A data frame with 731 observations (one for each CNA CFE) on the following 15 variables.
Identifier
The RACS identifer, as defined in [1]
CancerType
A TCGA label indicating the cancer type where the RACS has been identified (via ADMIRE [2])
Recurrent
A string specifying whether the RACS under consideration is frequently amplified (value = Amplification
) or deleted ) (value = deleted
)
chr
Chromosome number of the RACS
start
Starting position of the RACS
stop
Ending position of the RACS
nGenes
Number of protein coding genes included in the RACS
locus
Genomic locus of the RACS
ContainedGenes
A string with comma separated symbols of the genes included in the RACS
CNA_Identifier
A string containing the identifer of the RACS as it appears in the Binary Event Matrix (BEM) of the cancer type specified in the CancerType
field included in the
CELLector.CellLine.BEMs
and the CELLector.PrimTum.BEMs
data objects
This data frame contains a comprehensive annotation of the CFEs involving RACSs appearing in the BEMs of cell lines and primary tumours, contained in the CELLector.CellLine.BEMs
and the CELLector.PrimTum.BEMs
data objects.
Please note that the same RACS identifier across multiple cancer types might indicate different chromosomal regions, therefore in order to be decode it should be considered jointly with the TCGA label of the data frame it has been extracted from.
This table is used by the CELLector.cna_look_up
function to decode the identifier of CFE involving a RACS.
Francesco Iorio (fi9232@gmail.com)
[1] Iorio, F. et al. A Landscape of Pharmacogenomic Interactions in Cancer. Cell 166, 740–754 (2016).
[2] van Dyk, E., Reinders, M. J. T. & Wessels, L. F. A. A scale-space method for detecting recurrent DNA copy number changes with analytical false discovery rate control. Nucleic Acids Res. 41, e100 (2013).
CELLector.CellLine.BEMs
, CELLector.PrimTum.BEMs
, CELLector.cna_look_up
data(CELLector.CFEs.CNAid_decode)
head(CELLector.CFEs.CNAid_decode)
data(CELLector.CellLine.BEMs)
colnames(CELLector.CellLine.BEMs$COREAD)[8]
CELLector.cna_look_up(cna_ID = colnames(CELLector.CellLine.BEMs$COREAD)[8],
TCGALabel = 'COREAD',
cnaId_decode = CELLector.CFEs.CNAid_decode)
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