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-rwxr-xr-xwqflask/wqflask/marker_regression/marker_regression.py26
1 files changed, 19 insertions, 7 deletions
diff --git a/wqflask/wqflask/marker_regression/marker_regression.py b/wqflask/wqflask/marker_regression/marker_regression.py
index 8fb1d841..af441489 100755
--- a/wqflask/wqflask/marker_regression/marker_regression.py
+++ b/wqflask/wqflask/marker_regression/marker_regression.py
@@ -69,7 +69,7 @@ class MarkerRegression(object):
self.maf = start_vars['maf'] # Minor allele frequency
self.suggestive = ""
self.significant = ""
- #print("self.maf:", self.maf)
+ self.pair_scan = False # Initializing this since it is checked in views to determine which template to use
self.dataset.group.get_markers()
if self.mapping_method == "gemma":
@@ -86,11 +86,8 @@ class MarkerRegression(object):
self.method = start_vars['mapmethod_rqtl_geno']
self.model = start_vars['mapmodel_rqtl_geno']
-
if start_vars['pair_scan'] == "true":
self.pair_scan = True
- else:
- self.pair_scan = False
print("pair scan:", self.pair_scan)
print("DOING RQTL GENO")
@@ -283,6 +280,10 @@ class MarkerRegression(object):
r_library = ro.r["library"] # Map the library function
r_c = ro.r["c"] # Map the c function
r_sum = ro.r["sum"] # Map the sum function
+ plot = ro.r["plot"] # Map the plot function
+ postscript = ro.r["postscript"] # Map the postscript function
+ png = ro.r["png"] # Map the png function
+ dev_off = ro.r["dev.off"] # Map the device off function
print(r_library("qtl")) # Load R/qtl
@@ -315,13 +316,19 @@ class MarkerRegression(object):
if self.pair_scan:
if(r_sum(covar)[0] > 0): # If sum(covar) > 0 we have a covariate matrix
- print("Using covariate"); result_data_frame = scantwo(cross_object, pheno = "the_pheno", addcovar = covar)
+ print("Using covariate"); result_data_frame = scantwo(cross_object, pheno = "the_pheno", addcovar = covar, model=self.model, method=self.method, n_cluster = 16)
else:
- print("No covariates"); result_data_frame = scantwo(cross_object, pheno = "the_pheno")
+ print("No covariates"); result_data_frame = scantwo(cross_object, pheno = "the_pheno", model=self.model, method=self.method, n_cluster = 16)
print("Pair scan results:", result_data_frame)
+
+ self.pair_scan_filename = webqtlUtil.genRandStr("scantwo_")
+ png(file=webqtlConfig.IMGDIR+self.pair_scan_filename+".png")
+ plot(result_data_frame)
+ dev_off()
+
+ return self.process_pair_scan_results(result_data_frame)
- return 0
else:
if(r_sum(covar)[0] > 0):
print("Using covariate"); result_data_frame = scanone(cross_object, pheno = "the_pheno", addcovar = covar, model=self.model, method=self.method)
@@ -373,6 +380,11 @@ class MarkerRegression(object):
pheno_as_string += ")"
return pheno_as_string
+ def process_pair_scan_results(self, result):
+ results = []
+
+ return results
+
def process_rqtl_results(self, result): # TODO: how to make this a one liner and not copy the stuff in a loop
qtl_results = []