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authorPjotr Prins2023-03-16 12:08:59 +0100
committerPjotr Prins2023-03-16 12:08:59 +0100
commit71a4fb1dacc5c68c42694907a218f6f763f29762 (patch)
tree3f2c9f5afd8bc5da761962f5a97003f3b6b8597a /issues/gemma/databases-getting-out-of-wack.gmi
parent81c7e75c5f94d3fa9efd31c398731a4848549da1 (diff)
downloadgn-gemtext-71a4fb1dacc5c68c42694907a218f6f763f29762.tar.gz
Starting on gemma precompute
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1 files changed, 15 insertions, 10 deletions
diff --git a/issues/gemma/databases-getting-out-of-wack.gmi b/issues/gemma/databases-getting-out-of-wack.gmi
index a102846..45aa6c9 100644
--- a/issues/gemma/databases-getting-out-of-wack.gmi
+++ b/issues/gemma/databases-getting-out-of-wack.gmi
@@ -1,25 +1,33 @@
# Databases Getting Out of Wack
+This issue refers to precomputed scores generated by the ancient reaper module that runs as a script:
+
+=> https://github.com/genenetwork/genenetwork2/blob/testing/scripts/maintenance/QTL_Reaper_v6.py
+
+We'll create a new issue:
+
+=> lmm-precomputed-scores.gmi
+
## Tags
-* assigned: Bonface, Zach, jgart
+* assigned: pjotrp
* priority: high
-* type: bug
+* type: bug, enhancement
* status: unclear
* keywords: database, gemma, reaper
## Let's use Gemma instead of Reaper
Zachary:
-> If we're using GEMMA, we'll need to recalculate all other trait Max LRS scores using
-> GEMMA as well (so I think we should just do this with qtlreaper for now). Otherwise
+> If we're using GEMMA, we'll need to recalculate all other trait Max LRS scores using
+> GEMMA as well (so I think we should just do this with qtlreaper for now). Otherwise
> we'll just have a bunch of qtlreaper scores mixed with GEMMA scores without the user
-> having any way of knowing the difference. Also, storing the full results (what Rob
-> calls the "full vector model") will require some sort of fundamental change to the
+> having any way of knowing the difference. Also, storing the full results (what Rob
+> calls the "full vector model") will require some sort of fundamental change to the
> way we store this data and should be postponed for later (since the high priority
> immediate issue is to ensure that the stored Max LRS values aren't wrong)
-> As for Mean, that should be simple, since it's just taking the average of sample values
+> As for Mean, that should be simple, since it's just taking the average of sample values
> immediately after an update.
> The main thing I'm uncertain how to do (though I know is possible since Bonface already
@@ -39,6 +47,3 @@ Rob:
> BXD vector results and store that as a big juicy TRANSFORMATIVE blob of
> data. A big paper in doing just that. Reaper is just wrong at this
> point. We have LMM: We should use it.
-
-
-