adding analysis set

2026_analysis_set.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23d1243d81acd871b2be47b869c02282aa95bf8ac73b6dceb21b82a815acb108
+size 7387958

README.md

@@ -226,6 +226,56 @@ configs:
       description: Experimental condition for this sample
       role: experimental_condition
 
+- config_name: 2026_analysis_set
+  description: >-
+    This is a combination of the combined annotated_features_combined dataset, and the
+    passing single replicates from the annotated_features dataset. This is the data
+    that is used for the 2026 modeling paper as predictors
+  dataset_type: annotated_features
+  data_files:
+  - split: train
+    path: 2026_analysis_set.parquet
+  dataset_info:
+    features:
+    - name: gm_id
+      dtype: string
+      description: >-
+        genome_map id. If the sample is a combination of multiple samples, then it is a
+        hyphen-delimited set of genome map IDs corresponding to the combined replicates for this
+        regulator.
+    - name: target_locus_tag
+      dtype: string
+      description: Systematic gene identifier for the target gene
+      role: target_identifier
+    - name: target_symbol
+      dtype: string
+      description: Standard gene symbol for the target gene
+      role: target_identifier
+    - name: experiment_hops
+      dtype: float64
+      description: Number of transposon insertion events (hops) at target locus in the experimental sample
+      role: quantitative_measure
+    - name: background_hops
+      dtype: float64
+      description: Number of transposon insertion events (hops) at target locus in the background control
+      role: quantitative_measure
+    - name: background_total_hops
+      dtype: float64
+      description: Total number of background hops across all loci in the control sample
+      role: quantitative_measure
+    - name: experiment_total_hops
+      dtype: float64
+      description: Total number of experimental hops across all loci in the experimental sample
+      role: quantitative_measure
+    - name: callingcards_enrichment
+      dtype: float64
+      description: Enrichment score calculated as ratio of normalized experimental to background hops
+      role: quantitative_measure
+    - name: poisson_pval
+      dtype: float64
+      description: P-value from Poisson test for statistical significance of binding enrichment
+      role: quantitative_measure
+
 - config_name: genome_map
   description: Genome-wide calling cards insertion density data partitioned by batch
   dataset_type: genome_map