update summary section of downstream task

Author: littlecabiria

src/metrics/downstream/config.vsh.yaml

@@ -5,8 +5,8 @@ name: downstream
 info:
   metrics:
     - name: clustering_ari
-      label: clustering_ari
-      summary: ARI
+      label: ARI
+      summary: Adjusted rand index (ARI) measures the similarity between two clusters in real and simulated datasets.
       description: |
         Adjusted Rand Index used in spatial clustering to measure the similarity between two data clusterings, adjusted for chance.
       references: 
@@ -18,8 +18,8 @@ info:
       max: +Inf
       maximize: true
     - name: clustering_nmi
-      label: clustering_nmi
-      summary: NMI
+      label: NMI
+      summary: Normalized mutual information (NMI) measures of the mutual dependence between the real and simulated spatial clusters.
       description: |
         Normalized Mutual Information used in spatial clustering to measure the agreement between two different clusterings, scaled to [0, 1].
       references:
@@ -31,8 +31,8 @@ info:
       max: 1
       maximize: true
     - name: svg_recall
-      label: svg_recall
-      summary: Recall
+      label: recall
+      summary: Recall measures the proportion of real SVG correctly identified in the simulated dataset.
       description: |
         Recall used in identifying spatial variable genes, measuring the true positive rate.
       references:
@@ -41,8 +41,8 @@ info:
       max: 1
       maximize: true
     - name: svg_precision
-      label: svg_precision
-      summary: Precision (Spatial Variable Gene)
+      label: precision
+      summary: Precision measures the proportion of correctly identified items in simulated datasets.
       description: |
         Precision used in identifying spatial variable genes, measuring the accuracy of positive predictions.
       references:
@@ -51,8 +51,8 @@ info:
       max: 1
       maximize: true
     - name: ctdeconvolute_rmse
-      label: ctdeconvolute_rmse
-      summary: RMSE
+      label: RMSE
+      summary: Root Mean Square deviation is calculated between the true and predicted proportion of per cell type. 
       description: |
         Root Mean Squared Error used in cell type deconvolution to measure the difference between observed and predicted values.
       references: 
@@ -64,8 +64,8 @@ info:
       max: +Inf
       maximize: false
     - name: ctdeconcolute_jsd
-      label: ctdeconcolute_jsd
-      summary: JSD
+      label: JSD
+      summary: Jensen-Shannon divergence (JSD) is calculated between the true and predicted proportion per cell type in all spots.
       description: |
         Jensen-Shannon Divergence used in cell type deconvolution to measure the similarity between two probability distributions.
       references: 
@@ -77,8 +77,8 @@ info:
       max: 1
       maximize: false
     - name: crosscor_mantel
-      label: crosscor_mantel
-      summary: Mantel Statistic
+      label: mantel_stat
+      summary: Mantel statistic is the test statistic for the Mantel test, which is a correlation coefficient calculated between bivariate Moran’s I of real dataset and that of in simulation dataset.
       description: |
         Mantel statistic used in spatial cross-correlation to test the correlation between two distance matrices.
       references: 
@@ -90,8 +90,8 @@ info:
       max: 1
       maximize: true
     - name: crosscor_cosine
-      label: crosscor_cosine
-      summary: Cosine Similarity
+      label: cosine
+      summary: Cosine similarity measures similarity between bivariate Moran’s I of real dataset and that of in simulation dataset.
       description: |
         Cosine similarity used in spatial cross-correlation to measure the cosine of the angle between two non-zero vectors.
       references: