Utility to convert a SomaLogic soma_adat
object to an
ExpressionSet
object via the Biobase package
from Bioconductor:
https://www.bioconductor.org/packages/release/bioc/html/Biobase.html.
Arguments
- adat
A
soma_adat
class object as read into the R environment usingread_adat()
.
Details
The Biobase package is required and must be installed from Bioconductor via the following at the R console:
See also
Other eSet:
pivotExpressionSet()
Examples
eSet <- adat2eSet(example_data)
class(eSet)
#> [1] "ExpressionSet"
#> attr(,"package")
#> [1] "Biobase"
eSet
#> ExpressionSet (storageMode: lockedEnvironment)
#> assayData: 5284 features, 192 samples
#> element names: exprs
#> protocolData: none
#> phenoData
#> sampleNames: 258495800012_3 258495800004_7 ... 258495800110_5
#> (192 total)
#> varLabels: PlateId PlateRunDate ... Sex (34 total)
#> varMetadata: labelDescription
#> featureData
#> featureNames: seq.10000.28 seq.10001.7 ... seq.9999.1 (5284
#> total)
#> fvarLabels: SeqId SeqIdVersion ... Dilution2 (21 total)
#> fvarMetadata: labelDescription
#> experimentData: use 'experimentData(object)'
#> Annotation:
ft <- Biobase::exprs(eSet)
head(ft[, 1:10L], 10L)
#> 258495800012_3 258495800004_7 258495800010_8 258495800003_4
#> seq.10000.28 476.5 474.4 415.6 442.6
#> seq.10001.7 310.1 293.5 299.6 247.9
#> seq.10003.15 100.3 101.8 3030.1 112.9
#> seq.10006.25 602.8 561.9 563.9 563.7
#> seq.10008.43 561.8 541.9 423.9 469.8
#> seq.10011.65 6897.1 2985.5 3203.6 3140.9
#> seq.10012.5 1796.6 2123.0 2095.6 1922.2
#> seq.10013.34 441.9 521.1 560.4 582.0
#> seq.10014.31 941.7 933.4 1012.0 5207.2
#> seq.10015.119 728.1 477.3 535.1 480.9
#> 258495800009_4 258495800012_8 258495800001_3 258495800004_8
#> seq.10000.28 465.7 496.6 693.0 522.3
#> seq.10001.7 710.7 669.6 614.2 632.8
#> seq.10003.15 95.9 135.5 140.1 101.0
#> seq.10006.25 791.0 826.0 682.7 739.3
#> seq.10008.43 443.5 458.7 481.7 724.7
#> seq.10011.65 2707.5 1705.7 6424.4 3559.6
#> seq.10012.5 1607.1 1396.0 1675.5 1832.8
#> seq.10013.34 438.6 415.7 488.1 483.0
#> seq.10014.31 943.4 801.8 838.9 839.1
#> seq.10015.119 929.2 793.0 454.3 798.0
#> 258495800001_8 258495800004_3
#> seq.10000.28 452.1 702.1
#> seq.10001.7 918.3 237.7
#> seq.10003.15 113.2 126.9
#> seq.10006.25 905.4 634.2
#> seq.10008.43 541.2 585.0
#> seq.10011.65 2674.6 2807.1
#> seq.10012.5 1526.6 1656.6
#> seq.10013.34 747.4 510.6
#> seq.10014.31 815.5 869.1
#> seq.10015.119 981.7 438.9