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authorPeter Carbonetto2017-07-07 11:20:56 -0500
committerGitHub2017-07-07 11:20:56 -0500
commit86e96ede4ff0955bb2d03ac6c1bd7562a3984955 (patch)
tree33120540091e7d16b58f389a13949df397535912 /README.md
parentb3747413e6c5c8cd447e979157880676da66a342 (diff)
parentb9758364059d52e153a9f1b4fcae3bc3f3e68422 (diff)
downloadpangemma-86e96ede4ff0955bb2d03ac6c1bd7562a3984955.tar.gz
Merge pull request #51 from genenetwork/spacing
Spacing fixes.
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@@ -61,7 +61,7 @@ MQS algorithm to estimate variance components.
If you use GEMMA for published work, please cite our paper:
+ Xiang Zhou and Matthew Stephens (2012). [Genome-wide efficient
-mixed-model analysis for association studies.](http://doi.org/10.1038/ng.2310)
+mixed-model analysis for association studies.](http://doi.org/10.1038/ng.2310)
*Nature Genetics* **44**, 821–824.
If you use the multivariate linear mixed model (mvLMM) in your
@@ -77,7 +77,7 @@ If you use the Bayesian sparse linear mixed model (BSLMM), please cite:
+ Xiang Zhou, Peter Carbonetto and Matthew Stephens (2013). [Polygenic
modeling with bayesian sparse linear mixed
models.](http://doi.org/10.1371/journal.pgen.1003264) *PLoS Genetics*
-**9**, e1003264.
+**9**, e1003264.
And if you use of the variance component estimation using summary
statistics, please cite:
@@ -118,7 +118,7 @@ This is the current structure of the GEMMA source repository:
subfolders; see Wilson et al "Good Enough Practices" paper for example
of this.*
-## Setup
+## Setup
There are two ways to install GEMMA: