version 1.72.3

.github/workflows/docs.yml

@@ -21,9 +21,8 @@ jobs:
 
       # --- Build 'docs' documentation ---
       - name: Install 'docs' dependencies
-        working-directory: ./docs
         run: |
-          python -m pip install -r requirements.txt
+          python -m pip install '.[doc]'
 
       - name: Build 'docs' documentation
         working-directory: ./docs

docs/source/data.rst

@@ -42,7 +42,7 @@ To illustrate how to use gsMap, we provide some example GWAS and ST data. You ca
 .. _data-availability:
 
 Data Availability
-----------------
+-------------------
 .. list-table::
    :header-rows: 1
 

docs/source/data_format.md

@@ -30,7 +30,7 @@ rs12184279	A	C	1.050	226224
 rs116801199	T	G	0.300	226626
 ```
 
-####  How to format the GWAS data
+###  How to format the GWAS data
 You can convert GWAS summary data into the required format using custom code. For convenience, gsMap provides a command to do this. Below is an example of how to use the command.
 
 Download the human height GWAS data and decompress it.

docs/source/index.rst

@@ -52,7 +52,7 @@ How to use ``gsMap``, check out the `tutorials <tutorials.rst>`__
 
 
 Online Analysis Service (coming soon)
----------
+--------------------------------------
 Users could upload their own GWAS summary statistics data to perform the analysis.
 
 

src/gsMap/__init__.py

@@ -2,4 +2,4 @@
 Genetics-informed pathogenic spatial mapping
 """
 
-__version__ = "1.72.2"
+__version__ = "1.72.3"