Fixup typos.

Author: morriscb

descriptions/Zeng_Aging_Mouse_10Xv3.md

@@ -19,7 +19,7 @@ AWS Public Dataset:
 Data is being share under the CC BY NC 4.0 license.
 
 Related resources :
-* 847 clusters and map into Whole Mouse Brain Taxonomy [Zeng Aging Mouse Taxonomy](Zeng_Aging_Mouse_taxonomy))
+* 847 clusters that are mappped into Whole Mouse Brain Taxonomy [Zeng Aging Mouse Taxonomy](Zeng_Aging_Mouse_taxonomy))
 
 Associated notebooks:
 * [**Getting started**](../notebooks/getting_started.ipynb): Learn how to use

descriptions/Zeng_Aging_Mouse_dataset.md

@@ -2,6 +2,6 @@
 
 * 1.2 million single cell transcriptomes of adult and aged mouse cells
   across select regions of the brain ([Zeng Aging Mouse 10Xv3](Zeng_Aging_Mouse_10Xv3.md))
-* 847 cluster taxonomy of cell with identified associations into the supertype
+* 847 cluster taxonomy of cells with identified associations into the supertype
   and above levels of the Whole Mouse Brain taxonomy.
   ([Zeng Aging Mouse Taxonomy](Zeng_Aging_Mouse_taxonomy.md))

descriptions/Zeng_Aging_Mouse_taxonomy.md

@@ -7,7 +7,7 @@ from regions spanning the forebrain, midbrain, and hindbrain. High-resolution
 de novo clustering of all cells results in 847 cell clusters and reveals at
 least 14 age-biased clusters that are mostly glial types. Clusters in the study
 were mapped to the Whole Mouse Brain taxonomy ([WMB-taxonomy](WMB-taxonomy.md))
-to provided class, subclass and supertype annotations. At the broader cell
+to provide class, subclass and supertype annotations. At the broader cell
 subclass and supertype levels, age-associated gene expression signatures were
 analyzed resulting in a list of 2,449 differentially expressed genes (age-DE
 genes) for many neuronal and non-neuronal cell types.

notebooks/Zeng_Aging_Mouse_10x_snRNASeq_tutorial.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# Mouse Aging 10X RNA-seq gene expression  \n",
     "\n",
-    "In this notebook we'll explore some gene expressions and combine them with the cell metadata we showed in the clustering analysis tutorial.\n",
+    "In this notebook we'll explore some gene expressions and combine them with the cell metadata we showed in the previous [clustering analysis tutorial](https://alleninstitute.github.io/abc_atlas_access/notebooks/Zeng_Aging_Mouse_clustering_analysis_and_annotation.html).\n",
     "\n",
     "You need to be either connected to the internet or connected to a cache that has the aging data downloaded already and have already downloaded the example data via the getting started notebook to run this notebook. "
    ]