release: models v1.1

constants.py

@@ -1,6 +1,6 @@
 # Constants
 
-MODELS = {"HUMAN": ["v1.0.1", "main"], "MOUSE": ["v1.0.1", "main"]}
+MODELS = {"HUMAN": ["v1.1", "v1.0.1", "main"], "MOUSE": ["v1.1", "v1.0.1", "main"]}
 
 DEFAULT_DR = "X_draw_graph_fa"
 DEFAULT_META = "stage"

pages/4_Download.py

@@ -13,7 +13,7 @@ st.markdown(
 
     - Downloading datasets: [nf-core/fetchngs (revision 1.10.0)](https://github.com/nf-core/fetchngs)
     - Aligning datasets: [brickmanlab/scrnaseq (revision: feature/smartseq)](https://github.com/brickmanlab/scrnaseq)
-    - **Ensembl Genomes (models < v1.0.1)**
+    - **Ensembl Genomes (models <= v1.1)**
         - Mouse: GRCm38 v102
         - Human: GRCh38 v110
 
@@ -27,7 +27,7 @@ st.markdown(
     
     Raw counts are stored in `layers['counts']` and normalized counts are stored in `.X`. 
     
-    - models < v1.0.1
+    - **models <= v1.1**
         - [mouse](https://zenodo.org/records/13749348/files/01_mouse_reprocessed.h5ad)
         - [human](https://zenodo.org/records/13749348/files/32_human_adata.h5ad)
 
@@ -47,3 +47,12 @@ for specie in MODELS:
         text += f"[{version}]({url}), "
     text = text[:-2] + "\n"
 st.markdown(text)
+
+st.markdown(
+    """
+    ## 5. Credit
+
+    > [!TIP]
+    > Proks, M., Salehin, N. & Brickman, J.M. Deep learning-based models for preimplantation mouse and human embryos based on single-cell RNA sequencing. Nat Methods 22, 207–216 (2025). https://doi.org/10.1038/s41592-024-02511-3
+    """
+)