Accessor scores slot in a SEMScores object

Accessor scores slot in a SEMScores object

Usage

scores(x)

# S4 method for class 'SEMScores'
scores(x)

Arguments

x

a SEMScores object

Examples

library(VariantAnnotation)

# load default SEMs

# create a VRanges object
vr <- VRanges(
    seqnames = "chr12",
    ranges = 94136009,
    ref = "G", alt = "C"
)

# calculate binding propensity
s <- scoreVariants(vr, SEMC, BSgenome.Hsapiens.UCSC.hg19::Hsapiens)

scores(s)
#>                   varId            SEM     rc           refSeq           altSeq
#>                  <char>         <char> <char>           <char>           <char>
#>   1: chr12:94136009:G>C            AHR    fwd      TTTGAGGCATC      TTCAGGCATCT
#>   2: chr12:94136009:G>C            AHR    rev      TTTGAGGCATC      TTTCAGGCATC
#>   3: chr12:94136009:G>C AHR:ARNT:HIF1A    fwd        GGCTTTGAG        GGCTTTCAG
#>   4: chr12:94136009:G>C AHR:ARNT:HIF1A    rev        GGCTTTGAG        TTTCAGGCA
#>   5: chr12:94136009:G>C         ARID3A    fwd           TTTGAG           TTCAGG
#>  ---                                                                           
#> 442: chr12:94136009:G>C         ZNF217    rev         CTTTGAGG         CTTTCAGG
#> 443: chr12:94136009:G>C         ZNF281    fwd  GGAGAAGGCTTTGAG  AAGGAGAAGGCTTTC
#> 444: chr12:94136009:G>C         ZNF281    rev  GGCTTTGAGGCATCT  GGCTTTCAGGCATCT
#> 445: chr12:94136009:G>C         ZSCAN4    fwd GCTTTGAGGCATCTGC GCTTTCAGGCATCTGC
#> 446: chr12:94136009:G>C         ZSCAN4    rev GCTTTGAGGCATCTGC GCTTTCAGGCATCTGC
#>        refScore   altScore    refNorm    altNorm refVarIndex altVarIndex
#>           <num>      <num>      <num>      <num>       <int>       <int>
#>   1:  -1.495324  -1.393158 -0.4349553 -0.3934902          17          18
#>   2:  -1.354220  -1.158371 -0.3768978 -0.2862997          17          17
#>   3:  -1.304220  -1.308236 -0.3888573 -0.3905561          14          14
#>   4:  -1.266234  -1.086663 -0.3725524 -0.2893862          14          17
#>   5:  -1.400445  -1.428525 -0.4994304 -0.5090790          17          18
#>  ---                                                                    
#> 442:  -1.202679  -1.517704 -0.4025273 -0.5197292          16          16
#> 443:  -4.347612  -4.740351 -0.9355197 -0.9508865           8           6
#> 444:  -5.713722  -4.886938 -0.9749858 -0.9556316          14          14
#> 445: -15.439087 -13.002975 -0.9998307 -0.9990837          15          15
#> 446: -14.469707 -12.918336 -0.9996685 -0.9990284          15          15