signaturization.md

@@ -4,7 +4,7 @@ The main feature of the CC is the automatic conversion of virtually any compound
 
 The central type of data are the signatures (one numerical vector per molecule), which are of four types:
 
-* `sign0` [Signatures type 0](#signatures-type-0): A sufficiently-processed version of the raw data, containing TF-IDF weightnings if applicable. They usually show explicit knowledge, which enables connectivity and interpretation.
+* `sign0` [Signatures type 0](#signatures-type-0): A sufficiently-processed version of the raw data. They usually show explicit knowledge, which enables connectivity and interpretation.
 * `sign1` [Signatures type 1](#signatures-type-1): A PCA/LSI-projected version of the data, retaining 90% of the variance. They keep most of the complexity of the original data and they can be used for *almost-exact* similarity calculations.
 * `sign2` [Signatures type 2](#signatures-type-2): Network embedding of the similarity matrix derived from signatures type 1. They have fixed length, which is convenient for machine learning, and capture both explicit *and* implicit similarity relationships in the data.
 * `sign3` [Signatures type 3](#signatures-type-3): Network embedding of observed *and* inferred similarity networks. Their added value, compared to signatures type 2, is that they can be derived for virtually *any* molecule in *any* dataset. :warning: These signatures are not calculated yet, and won't be in the near future.