add aneuploidy score calculation

README.md

@@ -69,6 +69,7 @@ Rscript run_ascets.R -i seg_example.seg -c genomic_arm_coordinates_hg19.txt -m 0
 #### Output files
 - Arm-level calls for each arm in each sample in the input (arm_level_calls.txt)
 - Weighted average segment mean values for each arm in each sample in the input (weighted_average_segmeans.txt)
+- Aneuploidy scores (range 0-1, fraction of arms amplified or deleted out of total called arms [call ≠ LOWCOV])
 - Histogram of modeled noise in the segments in the input cohort (noise_hist.pdf)
 - Parameters used to make arm-level calls (params.txt)
 - Histogram of the segment means in the input cohort (segmean_hist.pdf)
@@ -84,7 +85,7 @@ ASCETS can also be run from within R Studio through calling the *ascets()* funct
 	- The following columns are required in this order (names can vary): sample, chromosome, segment start, segment end, number of markers, log2ratio
 	- See sample data for an example file
 - Chromosome arm genomic coordinates (*cytoband* argument supplied as a data frame)
-	- We supply an example file in the repository for hg19 (original data from [bioMart](http://grch37.ensembl.org/biomart/martview/69a5479f5796c22ca786f81386e2d5e4)), but other coordinates can be supplied in the same format such as cytoband coordinates (also provided for hg19)
+	- We supply a example files in the repository for hg19/38 (original data from [bioMart](http://grch37.ensembl.org/biomart/martview/69a5479f5796c22ca786f81386e2d5e4)), but other coordinates can be supplied in the same format such as cytoband coordinates (also provided for hg19)
 - Minimum arm breadth of coverage (BOC) to make a call (range 0.0 - 1.0; *min_cov* argument supplied as a numeric value) 
 	- Optional, defaults to 0.5
 	- Specify 0.0 to allow any BOC
@@ -103,7 +104,8 @@ ASCETS can also be run from within R Studio through calling the *ascets()* funct
 
 A list containing:
 - *calls*: data frame containing aSCNA calls
-- *weight_ave*: data frame arm weighted average segment means
+- *weight_ave*: data frame containing arm weighted average segment means
+- *aneu_scores*: data frame containing aneuploidy scores for each sample
 - *amp_thresh*: numeric value representing amplification threshold that was used to make aSCNA calls
 - *del_thresh*: numeric value representing deletion threshold that was used to make aSCNA calls
 - *alteration_thresh*: numeric value representing fraction of arm that must be altered to call an aSCNA

ascets_resources.R

@@ -262,6 +262,13 @@ compute_alt_fractions <- function(cna, amp_thresh, del_thresh, min_boc) {
     distinct()
 }
 
+calc_aneu_scores <- function(calls) {
+  calls %>% gather(arm, call, -sample) %>%
+    group_by(sample) %>%
+    summarize(aneuploidy_score = length(call[call %in% c("AMP", "DEL")]) / 
+                length(call[call != "LOWCOV"]))
+}
+
 # main function to run the ASCETS algorithm
 
 # INPUT
@@ -340,7 +347,12 @@ ascets <- function(cna, cytoband, min_boc = 0.5, name, noise = data.frame(), kee
   cat("Making arm level calls...\n")
   calls <- make_all_calls(cna_output, alteration_threshold)
 
+  # calculate aneuploidy scores
+  cat("Calculating aneuploidy scores...\n")
+  aneu_scores <- calc_aneu_scores(calls)
+
   list(calls = calls, 
+       aneu_scores = aneu_scores,
        weight_ave = weight_ave, 
        amp_thresh = amp_thresh, 
        del_thresh = del_thresh, 
@@ -376,6 +388,7 @@ write_outputs_to_file <- function(ascets, location = "./") {
   cat("Writing final outputs...\n")
   write.table(ascets$calls, paste0(location, ascets$name, "_arm_level_calls.txt"), quote = F, row.names = F, sep = "\t")
   write.table(ascets$weight_ave, paste0(location, ascets$name, "_arm_weighted_average_segmeans.txt"), quote = F, row.names = F, sep = "\t")
+  write.table(ascets$aneu_scores, paste0(location, ascets$name, "_aneuploidy_scores.txt"), quote = F, row.names = F, sep = "\t")
 
   f <- file(paste0(location, ascets$name, "_params.txt"))
   writeLines(c(ascets$name,