diff --git a/README.md b/README.md index 7479a05..bd74a57 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ `CRAWDAD` is a statistical framework that uses cell-type labeled spatial omics data to identify the colocalization or separation of cell types at different length scales. CRAWDAD identifies the spatial relationship of cell types in the tissue and the length scale in which they reach significance. It identifies groups of cells with similar spatial relationships patterns. Also, CRAWDAD subsets the cell types based on their proximity to others. Lastly, CRAWDAD compares multiple tissue samples using their cell-type spatial relationship patterns. Therefore, CRAWDAD is a powerful tool for tissue characterization and comparison. - + ## Installation diff --git a/docs/index.html b/docs/index.html index cab279b..09d1f3d 100644 --- a/docs/index.html +++ b/docs/index.html @@ -371,7 +371,7 @@

Overview

tissue samples using their cell-type spatial relationship patterns. Therefore, CRAWDAD is a powerful tool for tissue characterization and comparison.

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+

Installation

diff --git a/docs/index.md b/docs/index.md index 1c081c3..63176f1 100644 --- a/docs/index.md +++ b/docs/index.md @@ -10,7 +10,7 @@ `CRAWDAD` is a statistical framework that uses cell-type labeled spatial omics data to identify the colocalization or separation of cell types at different length scales. CRAWDAD identifies the spatial relationship of cell types in the tissue and the length scale in which they reach significance. It identifies groups of cells with similar spatial relationships patterns. Also, CRAWDAD subsets the cell types based on their proximity to others. Lastly, CRAWDAD compares multiple tissue samples using their cell-type spatial relationship patterns. Therefore, CRAWDAD is a powerful tool for tissue characterization and comparison. - + ## Installation