ROC assessment of detecting a change point

Copy number data

Whole-chromosome copy number data

SegmentedCopyNumbers:
Name: SimulatedProfile
Number of rows: 1000
Number of columns: 4
Columns: chromosome [numeric], x [numeric], cn [numeric], state* [numeric]
RAM: 0.03MB
Chromosomes: 0 [1]
Number of loci: 1000
Position range: [1,1e+08]
Mean distance between loci: 100100

Focusing on one change points

Change point: #1 at position 50000000.5.
Flanking segments: [19969970.7702703, 50000000.5] and [50000000.5, 60010010.4099099].
Safefy zone: [48048048.5675676, 51951952.4324324]

SegmentedCopyNumbers:
Name: SimulatedProfile
Number of rows: 400
Number of columns: 4
Columns: chromosome [numeric], x [numeric], cn [numeric], state* [numeric]
RAM: 0.02MB
Chromosomes: 0 [1]
Number of loci: 400
Position range: [2.002e+07,5.996e+07]
Mean distance between loci: 100100

Smoothing selected copy number data

Bin widths: 150000, 200000, 400000, 800000

Receive Operator Characteristic (ROC) assessment

Appendix

Session information

R version 3.1.0 Patched (2014-06-13 r65942)
Platform: x86_64-unknown-linux-gnu (64-bit)

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=C              
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] aroma.cn.eval_0.5.2 aroma.core_2.12.1   R.devices_2.9.2    
[4] R.filesets_2.4.0    R.utils_1.32.4      R.oo_1.18.0        
[7] R.methodsS3_1.6.1  

loaded via a namespace (and not attached):
[1] DNAcopy_1.38.1     PSCBS_0.43.0       R.cache_0.10.0     R.rsp_0.19.0      
[5] ROC_1.40.0         base64enc_0.1-1    digest_0.6.4       matrixStats_0.10.0
[9] tools_3.1.0