similarity-and-connectivity.md

 # Similarity and connectivity
 
-:construction: This page is under construction.
+The CC is based upon the similarity principle, i.e. similar molecules have similar properties. **Similarity** can be defined between **pairs of molecules** in any of the CC [datasets](datasets).
+
+When it comes to **comparing molecules to other biological entities** (antibodies, shRNAs, diseases, etc.), the similarity principle can be generalized to the notion of **connectivity**. A classical view of connectivity are molecules that *mimic* the transcriptional profile of a shRNA, or molecules that *revert* the transcriptional profile of a disease state.
+
+These are some ways similarity and connectivity can be applied in the CC:
+
+
+
+## Easy calculation of similarity and connectivity
 
-In the context of the CC, "connectivity" is a generalization of "similarity". That is, it is a more flexible means to compare entities. The notion of connectivity is of special interest to *unsupervised* drug discovery since it enables mapping of external biological data to the chemical space.
 
-In the [CC pipeline](production phase), connectivity happens at the pre-processing step. The pre-processing step has [two phases](datasets):
 
 1. XX
 2. XX
@@ -17,11 +23,12 @@ Another important matter here is the distance. The CC works with *common* distan
 
 ## Standard input files
 
-|Type|Format|Description||
-|Feature sets||GMT|
-|Key-feature pairs||TSV|
-|Key profiles||TSV|
-|InChIKeys|TSV|
+|Type|Format|Description|
+|---|---|---|
+|Feature sets|GMT|XX|
+|Key-feature pairs|TSV|XX|
+|Key profiles|TSV|XX|
+|InChIKeys|TSV|XX|
 
 ## Documentation