Update README.

README.md

@@ -43,4 +43,4 @@ See the [**Getting Started with scDiagnostics**](https://ccb-hms.github.io/scDia
 
 -   [**Evaluation of Dataset and Marker Gene Alignment**](https://ccb-hms.github.io/scDiagnostics/articles/DatasetAlignment.html): Provides functionality for assessing dataset alignment through quantitative comparison of query-to-reference projections in reduced dimension space. Additional functionality for assessing marker gene expression across datasets allows the user to identify potential misalignments between reference and query on the level of individual genes.
 
--   [**Detection of Annotation Anomalies**](https://ccb-hms.github.io/scDiagnostics/articles/AnnotationAnomalies.html): Focuses on identifying inconsistencies or anomalies in cell type annotations between the query and reference datasets through comparison of expert annotations with annotations derived from automated methods. By highlighting discrepancies that could be indicative of potential errors, this feature aids in refining and improving the accuracy and reliability of cell type classifications.
+-   [**Detection and Analysis of Annotation Anomalies**](https://ccb-hms.github.io/scDiagnostics/articles/AnnotationAnomalies.html): Focuses on identifying inconsistencies or anomalies in cell type annotations between the query and reference datasets through comparison of expert annotations with annotations derived from automated methods. By highlighting discrepancies that could be indicative of potential errors, this feature aids in refining and improving the accuracy and reliability of cell type classifications.