Merge pull request #103 from AlexsLemonade/allyhawkins/missing-spaces

Add some missing spaces before refs

content/03.results.md

@@ -60,7 +60,7 @@ This unfiltered counts matrix is stored in a `SingleCellExperiment` object [@doi
 The unfiltered gene by cell counts matrices are filtered to remove any barcodes that are not likely to contain cells using `DropletUtils::emptyDropsCellRanger()`[@doi:10.1186/s13059-019-1662-y], and all cells that pass are saved in a `SingleCellExperiment` object and a file with the suffix `_filtered.rds`.
 Low-quality cells are identified and removed with `miQC` [@doi:10.1371/journal.pcbi.1009290], which jointly models the proportion of mitochondrial reads and detected genes per cell and calculates a probability that each cell is compromised.
 The remaining cells' counts are normalized [@doi:10.1186/s13059-016-0947-7], and reduced-dimension representations are calculated using both principal component analysis (PCA) and uniform manifold approximation and projection (UMAP) [@arxiv:1802.03426].
-Finally, cell types are classified using two automated methods, `SingleR`[@doi:10.1038/s41590-018-0276-y] and `CellAssign`[@doi:10.1038/s41592-019-0529-1].
+Finally, cell types are classified using two automated methods, `SingleR` [@doi:10.1038/s41590-018-0276-y] and `CellAssign` [@doi:10.1038/s41592-019-0529-1].
 The results from this analysis are stored in a processed `SingleCellExperiment` object saved to a file with the suffix `_processed.rds`.
 
 To make downloading from the Portal convenient for R and Python users, downloads are available as either `SingleCellExperiment` or `AnnData`[@doi:10.1101/2021.12.16.473007] objects.