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README.org

@@ -38,10 +38,6 @@ Reproducibility: use "make" with one of the recipes defined in
 ** Benchmark data set
 
 The data described in the paper are downloadable here:
-- Data were created using SegAnnDB software, in which expert
-  biologists looked at scatterplots and created labels based on visual
-  interpretation of significant signal/noise patterns. [[http://members.cbio.mines-paristech.fr/~thocking/neuroblastoma/signal.list.annotation.sets.RData][Source data
-  file]], [[https://github.com/tdhock/LabeledFPOP-paper/blob/master/signal.list.annotation.sets.R][R Script to process]], [[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029035/][SegAnnDB paper]].
 - Each CSV file has a sequenceID column which is of the form A.B where
   A is the profile ID number and B is the chromosome name. This ID can
   be used to separate the data into different segmentation/changepoint
@@ -65,6 +61,10 @@ The data described in the paper are downloadable here:
   - start/end columns define a region of the correponding data
     sequence (in terms of data.i index values) in which the labeled
     number of changes should be detected.
+- Note on data source: they were created using SegAnnDB software, in
+  which expert biologists looked at scatterplots and created labels
+  based on visual interpretation of significant signal/noise
+  patterns. [[http://members.cbio.mines-paristech.fr/~thocking/neuroblastoma/signal.list.annotation.sets.RData][Source data file]], [[https://github.com/tdhock/LabeledFPOP-paper/blob/master/signal.list.annotation.sets.R][R Script to process]], [[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029035/][SegAnnDB paper]].
 
 I recommend computing the label error using [[https://github.com/tdhock/penaltyLearning][penaltyLearning]] R package,
 [[https://github.com/tdhock/change-tutorial][useR