diff --git a/README.md b/README.md
index 073e927..588b380 100644
--- a/README.md
+++ b/README.md
@@ -12,9 +12,9 @@ LIANA+ is a scalable framework that integrates and extends existing methods and
-## Development & Contributions
+## Contributions
-We welcome suggestions, ideas, and contributions! Please use do not hesitate to contact us, open issues, and check the [contributions guide](https://liana-py.readthedocs.io/en/latest/contributing.html).
+We welcome suggestions, ideas, and contributions! Please do not hesitate to contact us, open issues, and check the [contributions guide](https://liana-py.readthedocs.io/en/latest/contributing.html).
## Vignettes
A set of extensive vignettes can be found in the [LIANA+ documentation](https://liana-py.readthedocs.io/en/latest/).
diff --git a/docs/source/notebooks/basic_usage.ipynb b/docs/source/notebooks/basic_usage.ipynb
index d4dcc02..822b7e7 100644
--- a/docs/source/notebooks/basic_usage.ipynb
+++ b/docs/source/notebooks/basic_usage.ipynb
@@ -1676,9 +1676,11 @@
"\n",
"where we take the minimum probability for each interaction across the score vectors, and we apply a Bonferroni multi-testing correction to the P-values by multiplying them by n.\n",
"\n",
+ "\n",
"**Notes:**\n",
+ "\n",
"- Δ Some differences are expected with the original implementations largely due to different preprocessing steps which LIANA+ harmonised across the different methods. Specifically, LIANA+ considers the minimum score (e.g. average expression) for complex subunits, while some methods consider the mean, geometric mean, or simply do not account for complexes at all.\n",
- "- † The original [CellChat](https://github.com/jinworks/CellChat) implementation additionally uses information about mediator proteins and pathways, which are specific to the CellChat resource. Since we wish to keep LIANA+ resource-agnostic, **we do not utilise mediator information**, as such while the remainder of the score calculation is identical to CellChat's LR probabilities, some differences are anticipated.\n",
+ "- † The original [CellChat](https://github.com/jinworks/CellChat) implementation additionally uses information about mediator proteins and pathways, which are specific to the CellChat resource. Since we wish to keep LIANA+ resource-agnostic, **we do not utilise mediator information**, as such while the remainder of the score calculation is identical to CellChat's LR probabilities, some differences are anticipated.\n",
"- Ѫ While we refer to the genes as ligands and receptors for simplicity, these can represent the gene expression also of membrane-bound or extracellular-matrix proteins, as well as heteromeric complexes for which the minimum expression across subunits is used.\n",
"- ‡ 1-vs-rest cell group log2FC for each gene is calculated as $$log2FC = \\log_2\\left(\\text{mean}(X_i)\\right) - \\log_2\\left(\\text{mean}(X_{\\text{not}_i})\\right)$$\n",
"- (*) LIANA considers interactions as occurring only if both the ligand and receptor, as well as all of their subunits, are expressed above a certain proportion of cells in both clusters involved in the interaction (0.1 by default). This can be formulated as an indicator function as follows:\n",
@@ -1690,7 +1692,7 @@
"metadata": {},
"source": [
"\n",
- "### 🙏 Please consider citing the original methods when using their LIANA+ re-implementations in your work! 🙏 \n",
+ "### 🙏 Please consider citing the original methods when using their LIANA+ adaptations in your work! 🙏 \n",
"\n",
"*While LIANA+ simply aims to ease ligand-receptor inference, the original authors and developers should be credited for their work.*\n",
"\n",