Add RNAseq example to readme and docs

README.rst

@@ -133,6 +133,8 @@ approximations that power much of the modern probabilistic machine learning land
   - Counterfactual estimation from longitudinal data
 - `Example: Robust estimation with the DR learner <https://basisresearch.github.io/chirho/dr_learner.html>`_
   - Heterogeneous causal effect estimation with a misspecified model
+- `Example: Estimating the effects of drugs on gene expression <https://basisresearch.github.io/chirho/sciplex.html>`_
+  - Causal inference with single-cell RNA-seq data
 - `Design notes <https://basisresearch.github.io/chirho/design_notes>`_
   - Technical implementation details of ChiRho using effect handlers
 

docs/source/index.rst

@@ -27,6 +27,7 @@ Table of Contents
    deepscm
    slc
    mediation
+   sciplex
    sdid
    dr_learner
 

docs/source/sciplex.ipynb

@@ -5,7 +5,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Single-Cell RNA Seq Example"
+    "# Estimating the causal effects of drug treatment on gene expression"
    ]
   },
   {
@@ -1680,7 +1680,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# References\n",
+    "## References\n",
     "\n",
     "Sanjay R., Srivatsan et al., \"Massively multiplex chemical transcriptomics at single-cell resolution\". Science, 2020. https://www.science.org/doi/10.1126/science.aax6234\n",
     "\n",