adding cc, rossi, mahendrawada mindel promoter dto

README.md

@@ -13,60 +13,60 @@ size_categories:
 
 features:
 - applies_to:
-    - dto
-    - dto_rossi_cc_mahendrawada_mindel
-    fields:
-    - name: pr_ranking_column
-      dtype:
-        class_label: ["log2fc", "pvalue"]
-      description: >-
-        Describes which column, effect (log2fc) or pvalue was used
-        in ranking the perturbation response data. see scripts/dto_preparation.R
-        for more info on each dataset
-    - name: binding_rank_threshold
-      dtype: float64
-      description: >-
-        Rank threshold used for the binding dataset in the DTO analysis. This
-        represents the rank cutoff that maximizes overlap significance between
-        binding and perturbation datasets.
-      role: quantitative_measure
-    - name: perturbation_rank_threshold
-      dtype: float64
-      description: >-
-        Rank threshold used for the perturbation dataset in the DTO analysis.
-        This represents the rank cutoff that maximizes overlap significance
-        between binding and perturbation datasets.
-      role: quantitative_measure
-    - name: binding_set_size
-      dtype: int64
-      description: >-
-        Number of targets in the binding dataset at the optimal rank threshold.
-        This is the size of the set used to calculate overlap with the
-        perturbation dataset.
-      role: quantitative_measure
-    - name: perturbation_set_size
-      dtype: int64
-      description: >-
-        Number of targets in the perturbation dataset at the optimal rank
-        threshold. This is the size of the set used to calculate overlap with
-        the binding dataset.
-      role: quantitative_measure
-    - name: dto_fdr
-      dtype: float64
-      description: >-
-        False discovery rate (FDR) for the direct target overlap test. Lower
-        values indicate more significant overlap between binding and
-        perturbation target sets. Missing values (NA) indicate insufficient
-        data for DTO analysis.
-      role: quantitative_measure
-    - name: dto_empirical_pvalue
-      dtype: float64
-      description: >-
-        Empirical p-value from permutation testing for the direct target
-        overlap. This represents the probability of observing the observed
-        overlap by chance. Missing values (NA) indicate insufficient data for
-        DTO analysis.
-      role: quantitative_measure
+  - dto
+  - dto_rossi_cc_mahendrawada_mindel
+  fields:
+  - name: pr_ranking_column
+    dtype:
+      class_label: ["log2fc", "pvalue"]
+    description: >-
+      Describes which column, effect (log2fc) or pvalue was used
+      in ranking the perturbation response data. see scripts/dto_preparation.R
+      for more info on each dataset
+  - name: binding_rank_threshold
+    dtype: float64
+    description: >-
+      Rank threshold used for the binding dataset in the DTO analysis. This
+      represents the rank cutoff that maximizes overlap significance between
+      binding and perturbation datasets.
+    role: quantitative_measure
+  - name: perturbation_rank_threshold
+    dtype: float64
+    description: >-
+      Rank threshold used for the perturbation dataset in the DTO analysis.
+      This represents the rank cutoff that maximizes overlap significance
+      between binding and perturbation datasets.
+    role: quantitative_measure
+  - name: binding_set_size
+    dtype: int64
+    description: >-
+      Number of targets in the binding dataset at the optimal rank threshold.
+      This is the size of the set used to calculate overlap with the
+      perturbation dataset.
+    role: quantitative_measure
+  - name: perturbation_set_size
+    dtype: int64
+    description: >-
+      Number of targets in the perturbation dataset at the optimal rank
+      threshold. This is the size of the set used to calculate overlap with
+      the binding dataset.
+    role: quantitative_measure
+  - name: dto_fdr
+    dtype: float64
+    description: >-
+      False discovery rate (FDR) for the direct target overlap test. Lower
+      values indicate more significant overlap between binding and
+      perturbation target sets. Missing values (NA) indicate insufficient
+      data for DTO analysis.
+    role: quantitative_measure
+  - name: dto_empirical_pvalue
+    dtype: float64
+    description: >-
+      Empirical p-value from permutation testing for the direct target
+      overlap. This represents the probability of observing the observed
+      overlap by chance. Missing values (NA) indicate insufficient data for
+      DTO analysis.
+    role: quantitative_measure
 
 configs:
   - config_name: dto