R: Interaction data generated by the analysis pipeline
interactions
R Documentation
Interaction data generated by the analysis pipeline
Description
This file contains the result of the analysis pipeline calling
getInteractions.
Usage
data(interactions)
Format
List of 5
$ anno :List of 4
..$ drug:'data.frame': 1372 obs. of 15 variables
..$ line:'data.frame': 12 obs. of 4 variables
..$ repl: int [1:2]
..$ ftr : chr [1:20]
$ D : num [1:1372, 1:12, 1:2, 1:20]
$ res : num [1:1372, 1:12, 1:2, 1:20]
$ effect:List of 2
..$ drug: num [1:1372, 1:2, 1:20]
..$ line: num [1:12, 1:2, 1:20]
$ pVal : num [1:1372, 1:12, 1:20, 1:3]
Value
interactions is a list containing the listanno,
arrayD, arrayres, listeffect and
arraypVal.
The annotation anno is represented as a list containing a
data.framedrug with the drug annotation, a data.frameline with the cell line annotation, a vectorrepl with the
information about the replicates and a vectorftr with the
feature names.
The four dimensional arrayD contains the glog transformed
feature data of the features selected for the final analysis.
The dimensions represent:
drug
cell line
replicate
feature
The four dimensional arrayres contains the interaction terms. It
has the same dimentions as D.
The dimensions represent:
drug
cell line
replicate
feature
The listeffect contains the drug and cell line effect as
three-dimensional array:
drug and line have the following dimensions:
drug or cell line respectively
replicate
feature
pVal is an array containing the p-values, adjusted p-values and
correlation between replicates of interactions. The dimensions represent:
drug
cell line
p-value, adjusted p-value, correlation
feature
See Also
getInteractions
Examples
data(interactions)
str(interactions)
Results
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> library(PGPC)
Loading required package: EBImage
Loading required package: imageHTS
Loading required package: cellHTS2
Loading required package: RColorBrewer
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Attaching package: 'Biobase'
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channel
Loading required package: genefilter
Loading required package: splots
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Loading required package: hwriter
Loading required package: locfit
locfit 1.5-9.1 2013-03-22
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Loading required package: SearchTrees
Loading required package: limma
Attaching package: 'limma'
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plotMA
Loading required package: gplots
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lowess
Loading required package: ggplot2
Attaching package: 'ggplot2'
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annotate
Loading required package: geneplotter
Loading required package: lattice
Loading required package: annotate
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: IRanges
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
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space
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Attaching package: 'IRanges'
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resize, tile
Loading required package: XML
Loading required package: ChemmineR
Attaching package: 'ChemmineR'
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fold
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makeUnique
Loading required package: reshape2
Loading required package: plyr
Attaching package: 'plyr'
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desc
The following object is masked from 'package:S4Vectors':
rename
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/PGPC/interactions.Rd_%03d_medium.png", width=480, height=480)
> ### Name: interactions
> ### Title: Interaction data generated by the analysis pipeline
> ### Aliases: interactions
> ### Keywords: datasets
>
> ### ** Examples
>
> data(interactions)
> str(interactions)
List of 5
$ anno :List of 4
..$ drug:'data.frame': 1372 obs. of 15 variables:
.. ..$ PlateName : chr [1:1372] "P1" "P1" "P1" "P1" ...
.. ..$ Well : chr [1:1372] "A03" "A04" "A05" "A06" ...
.. ..$ Content : chr [1:1372] "sample" "sample" "sample" "sample" ...
.. ..$ compoundID_384 : chr [1:1372] "78875" "78955" "78876" "78956" ...
.. ..$ compoundID : chr [1:1372] "78875" "78955" "78876" "78956" ...
.. ..$ mol.weight.Structure: chr [1:1372] "195,22001" "163,19638" "202,25818" "131,17601" ...
.. ..$ Name : chr [1:1372] "DL-alpha-Methyl-p-tyrosine" "N-Acetyl-L-Cysteine" "6-Methoxy-1,2,3,4-tetrahydro-9H-pyrido[3,4b] indole" "6-Aminohexanoic acid" ...
.. ..$ SecName : chr [1:1372] "4-Hydroxy-alpha-methylphenylalanine" "" "" "6-Aminocaproic acid; EACA" ...
.. ..$ Class : chr [1:1372] "Neurotransmission" "Glutamate" "Neurotransmission" "Immune System" ...
.. ..$ Enzyme : chr [1:1372] "Enzyme" "" "Enzyme" "" ...
.. ..$ Action : chr [1:1372] "Inhibitor" "Antagonist" "Inhibitor" "Inhibitor" ...
.. ..$ Selectivity : chr [1:1372] "Tyrosine hydroxylase" "" "MAO" "Blood Clotting" ...
.. ..$ Description : chr [1:1372] "Inhibitor of catecholamine synthesis and tyrosine hydroxylase" "Amino acid analog that partially improves neuronal survival following transient forebrain ischemia" "MAO inhibitor" "Promotes rapid dissociation of plasmin, thereby inhibiting the activation of plasminogen and subsequent fibrinolysis; inhibits "| __truncated__ ...
.. ..$ GeneID : chr [1:1372] "78875" "78955" "78876" "78956" ...
.. ..$ Selectivity_updated : chr [1:1372] "Tyrosine hydroxylase" "AA-analog" "MAO" "Blood Clotting" ...
..$ line:'data.frame': 12 obs. of 4 variables:
.. ..$ name : chr [1:12] "02-006" "02-031" "02-004" "104-009" ...
.. ..$ mutationDetailed: chr [1:12] "AKT1-/-&AKT2-/-" "MEK2-/-" "AKT1-/-" "CTNNB1 mt-/wt+" ...
.. ..$ mutation : chr [1:12] "AKT1/2" "MEK2" "AKT1" "CTNNB1 wt" ...
.. ..$ startPlate : num [1:12] 1 5 9 13 17 21 25 29 33 37 ...
..$ repl: int [1:2] 1 2
..$ ftr : chr [1:20] "n" "cseg.act.m.majoraxis.mean" "cseg.act.h.cor.s1.mean" "nseg.0.m.majoraxis.mean" ...
$ D : num [1:1372, 1:12, 1:2, 1:20] 0.871 0.937 0.867 0.963 0.936 ...
$ res : num [1:1372, 1:12, 1:2, 1:20] -0.04 -0.0445 -0.0237 0.0457 0.0094 ...
$ effect:List of 2
..$ drug: num [1:1372, 1:2, 1:20] -0.07399 -0.00358 -0.09446 -0.06819 -0.05889 ...
..$ line: num [1:12, 1:2, 1:20] 0.00308 0.00912 0.02849 -0.03774 0.01623 ...
$ pVal : num [1:1372, 1:12, 1:20, 1:3] 0.3147 0.2682 0.3243 0.9013 0.0763 ...
>
>
>
>
>
> dev.off()
null device
1
>