fix docs references

.readthedocs.yml

@@ -14,3 +14,4 @@ python:
           path: .
           extra_requirements:
               - doc
+        - requirements: docs/requirements.txt

docs/content/tutorials.rst

@@ -17,5 +17,5 @@ Tutorials for using sincei inside python
 .. toctree::
     :maxdepth: 1
 
-    tutorials/snmC2Tseq_preprocessing
-    tutorials/GLM_PCA_analysis
+    tutorials/snmCATseq_preprocessing
+    tutorials/snmCATseq_glmPCA_analysis

docs/content/tutorials/sincei_tutorial_10x.rst

@@ -47,7 +47,7 @@ We will use the ``gex_possorted_bam.bam`` for gene-expression data and
 sincei. These files can also be produced as part of the
 ``cellranger count`` workflow for scRNA-seq or scATAC-seq data alone.
 For convenience, we provide a subset of this data (only chromosome 2)
-`here <>`__
+`here`
 
 .. code:: bash
 

docs/content/tutorials/snmCATseq_glmPCA_analysis.ipynb

@@ -46,7 +46,7 @@
     "## Read data\n",
     "\n",
     "\n",
-    "Starting from the files provided in our [figshare repository](), the data needs to be first processed as demonstrated in \"snmCATseq_prepcessing.ipynb\". We here load the output.\n",
+    "Starting from the files provided in our figshare repository, the data needs to be first processed as demonstrated in \"snmCATseq_prepcessing.ipynb\". We here load the output.\n",
     "\n",
     "In order to confirm whether glmPCA results help in identifying clusters of cells, we shall also load the celltype metadata provided in the Supplementary table 5 of the original manuscript.\n"
    ]

docs/content/tutorials/snmCATseq_preprocessing.ipynb

@@ -18,7 +18,9 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "988e257e-c523-4ead-af26-99a45177a79c",
-   "metadata": {},
+   "metadata": {
+     "scrolled": true
+   },
    "outputs": [],
    "source": [
     "import os, tqdm, itertools, math\n",