aboutsummaryrefslogtreecommitdiff
path: root/wqflask
diff options
context:
space:
mode:
Diffstat (limited to 'wqflask')
-rw-r--r--wqflask/wqflask/auwerx/phewas_analysis.py11
1 files changed, 6 insertions, 5 deletions
diff --git a/wqflask/wqflask/auwerx/phewas_analysis.py b/wqflask/wqflask/auwerx/phewas_analysis.py
index db12ad98..a745b12d 100644
--- a/wqflask/wqflask/auwerx/phewas_analysis.py
+++ b/wqflask/wqflask/auwerx/phewas_analysis.py
@@ -59,14 +59,11 @@ class PheWAS(object):
rnames = r_seq(1, len(parser.markers))
# Create the snp aligner object out of the BXD genotypes
snpaligner = ro.r.matrix(snpinfo, nrow=len(parser.markers), dimnames = r_list(rnames, r_c("SNP", "Chr", "Pos")), ncol = 3, byrow=True)
- r_write_table(snpaligner, "~/snpaligner_GN2.txt", row_names=False)
+ #r_write_table(snpaligner, "~/snpaligner_GN2.txt", row_names=False)
# Create the phenotype aligner object using R
phenoaligner = self.r_create_Pheno_aligner()
- #r_load(precompfilelocation) # Load the pre-computed EMMA results into R
- #allpvalues = ro.r['pval_small'] # Get a pointer to the pre-computed results
-
self.results = {}
self.results['imgurl1'] = webqtlUtil.genRandStr("phewas_") + ".png"
self.results['imgloc1'] = GENERATED_IMAGE_DIR + self.results['imgurl1']
@@ -74,7 +71,11 @@ class PheWAS(object):
print("IMAGE AT:", self.results['imgloc1'] )
# Create the PheWAS plot (The gene/probe name, chromosome and gene/probe positions should come from the user input)
# TODO: generate the PDF in the temp folder, with a unique name
- self.r_PheWASManhattan("Test", precompfilelocation, phenoaligner, snpaligner, "None", 1, 25, 25, self.results['imgloc1'] )
+ phewasres = self.r_PheWASManhattan("Test", precompfilelocation, phenoaligner, snpaligner, "None", 1, 25, 25, self.results['imgloc1'] )
+ self.results['phewas1'] = phewasres[0]
+ self.results['phewas2'] = phewasres[1]
+ self.results['phewas3'] = phewasres[2]
+
#self.r_PheWASManhattan(allpvalues)
#self.r_Stop()