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authorPjotr Prins2018-06-29 12:56:08 +0000
committerPjotr Prins2018-06-29 12:56:08 +0000
commit1c2dbad9b627b67ff91158480335d499106b4e50 (patch)
tree6554e972f830de5e377b45d8d9d07b9612edee12 /example/demo.txt
parentcee92876e456299e14afd51e0b719384c48c5286 (diff)
parent9f9887eb5befe025e85641f1930e46e5e6a25e56 (diff)
downloadpangemma-1c2dbad9b627b67ff91158480335d499106b4e50.tar.gz
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diff --git a/example/demo.txt b/example/demo.txt
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@@ -98,7 +98,9 @@ chr rs ps n_miss allele1 allele0 af beta_1 beta_2 Vbeta_1_1 Vbeta_1_2 Vbeta_2_2
## To fit BSLMM in the training set:
## To fit a quantitative trait
-../bin/gemma -g mouse_hs1940.geno.txt.gz -p mouse_hs1940.pheno.txt -n 2 -a mouse_hs1940.anno.txt -bslmm -o mouse_hs1940_CD8_bslmm -w 1000 -s 10000 -seed 1
+../bin/gemma -g mouse_hs1940.geno.txt.gz -p mouse_hs1940.pheno.txt -n 2 \
+ -a mouse_hs1940.anno.txt -bslmm -o mouse_hs1940_CD8_bslmm \
+ -w 1000 -s 10000 -seed 1
# the following three files may be of most importance:
# the *.hyp.txt contains a column for pve and pge