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| author | Pjotr Prins | 2018-06-29 12:51:41 +0000 |
|---|---|---|
| committer | Pjotr Prins | 2018-06-29 12:51:41 +0000 |
| commit | 9f9887eb5befe025e85641f1930e46e5e6a25e56 (patch) | |
| tree | af87047d49fb39b7a7a5c7c1d5dc2b98400c5595 /example/demo.txt | |
| parent | 7f61ca0761e93918f64119c50b32e2812eba8291 (diff) | |
| parent | 159f95233afd36c98335059e35cd6c51e4760d24 (diff) | |
| download | pangemma-9f9887eb5befe025e85641f1930e46e5e6a25e56.tar.gz | |
Merge branch 'master' of github.com:genetics-statistics/GEMMA
Diffstat (limited to 'example/demo.txt')
| -rw-r--r-- | example/demo.txt | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/example/demo.txt b/example/demo.txt index 9452e04..9b22175 100644 --- a/example/demo.txt +++ b/example/demo.txt @@ -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 |