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-rw-r--r--topics/systems/mariadb/precompute-mapping-input-data.gmi4
1 files changed, 2 insertions, 2 deletions
diff --git a/topics/systems/mariadb/precompute-mapping-input-data.gmi b/topics/systems/mariadb/precompute-mapping-input-data.gmi
index d26a97a..6329667 100644
--- a/topics/systems/mariadb/precompute-mapping-input-data.gmi
+++ b/topics/systems/mariadb/precompute-mapping-input-data.gmi
@@ -15,12 +15,12 @@ GN relies on precomputed mapping scores for search and other functionality. Here
* [ ] Start using GEMMA for precomputed values as a background pipeline on a different machine
* [ ] Update the table values using GEMMA output (single highest score)
-Above is the quick win for plugging in GEMMA value. We will make sure not to recompute the values that are already up to date.
+Above is the quick win for plugging in GEMMA values. We will make sure not to recompute the values that are already up to date.
Next:
-* [ ] Track metadata of computed datasets in RDF
* [ ] Store all GEMMA values efficiently
+* [ ] Track metadata of computed datasets (in RDF?)
* [ ] Compute significance with GEMMA or other LMM (bulkLMM?)
* [ ] Store signficance and significant values for processing
* [ ] Update search & correlations to use these