Merge pull request #157 from chanzuckerberg/csweaver/readme-data

Added instructions on how to load your own data in scanpy
2026-09-22 22:38:11 +08:00 · 2018-08-07 10:19:31 -07:00
parent 12b8232327 9236f02637
commit 0db24a6c07
1 changed files with 89 additions and 22 deletions
@@ -21,41 +21,108 @@ Started in the context of the Human Cell Atlas Consortium, cellxgene hopes to bo
 - OS: OSX, Windows, Linux
 - python 3.6
 - npm
- Google Chrome 
+- Google Chrome

-**Clone project**  
-  
-    git clone https://github.com/chanzuckerberg/cellxgene.git    
+**Clone project**
+
+    git clone https://github.com/chanzuckerberg/cellxgene.git
+
+**Install client**

-**Install client**  
-  
    cd cellxgene
-    ./bin/build-client  
+    ./bin/build-client

-**To use with virtual env for python**  
-(optional, but recommended)  
-  
-    ENV_NAME=cellxgene  
-    python3 -m venv ${ENV_NAME}  
-    source ${ENV_NAME}/bin/activate  
+**To use with virtual env for python**
+(optional, but recommended)

-**Install server**    
-  
-    pip install -e .
+    ENV_NAME=cellxgene
+    python3 -m venv ${ENV_NAME}
+    source ${ENV_NAME}/bin/activate
+
+**Install server**
+
+
+     pip install -e .
+
+**Run (with demo data)**

-**Run (with demo data)**  
-  
    cellxgene --title PBMC3K scanpy example-dataset/
-*In google chrome, navigate to the viewer via the web address printed in your console.  
+*In google chrome, navigate to the viewer via the web address printed in your console.
 E.g.,* `Running on http://0.0.0.0:5005/`

 **Help**
-  
+
    cellxgene --help
-_For help with the scanpy engine_  
-  
+_For help with the scanpy engine_
+
    cellxgene scanpy --help

+## Using your own data
+
+### Scanpy
+
+To prepare your data you will need to format your data into AnnData format using scanpy and calculate PCA and nearest neighbors and save in h5ad format.
+
+1. [Load data into scanpy](https://scanpy.readthedocs.io/en/latest/api/index.html#reading)
+
+	- Ensure that `obs`'s index is the cell names: `print(data.obs_names)` should show your cell indices. If it shows gene names, you may need to just call `data.transpose()`.
+
+2. Calculate PCA
+
+    sc.pp.pca(data) ## sc is scanpy.api
+
+3. Calculate nearest neighbors  (depending on layout algorithm)
+
+    ```
+    # For umap layout algorithm, you need to use the "umap" method for neighbors
+    sc.pp.neighbors(data, method="umap", metric="euclidean", use_rep="X_pca")
+
+    # For tsne layout algorithm, you can use either "umap" or "gauss"; we recommend "gauss"
+    sc.pp.neighbors(data, method="gauss", metric="euclidean", use_rep="X_pca")
+    ```
+
+4. Save file
+
+    ```
+    # cellxgene requires file to be named data.h5ad
+    data.write("data.h5ad")
+    ```
+
+5. Create config file (optional)
+
+	If you do not have a config file, the schema (metadata names, types, and categorical/continuous) will be inferred from the observations in the data file. Config file is required to be named 'data_schema.json' and located in the same directory as data file.
+	- The config file is a JSON format file with information on the metadata associated with the cells. The key is the column name in obs. The value is an object
+	```
+    type: string, int, or float (what type the values are),
+	  variabletype: categorical or continuous (categorical values are displayed as checkboxes, continuous values are displayed as a histogram)
+	  displayname: (what the heading should be displayed as)
+	  include: True/False (whether to display values on web interface)
+	```
+
+	```
+	Example
+    {
+        "CellName": {
+            "type": "string",
+            "variabletype": "categorical",
+            "displayname": "Name",
+            "include": true
+        },
+        "clusters": {
+            "type": "string",
+            "variabletype": "categorical",
+            "displayname": "Clusters",
+            "include": true
+        },
+        "num_genes": {
+            "type": "int",
+            "variabletype": "continuous",
+            "displayname": "Number Genes",
+            "include": true
+        }
+    }
+    ```
+
 ## Contributing
 We warmly welcome contributions from the community. Please submit any bug reports and feature requests through github issues. Please submit any direct contributions via a branch + pull request.