Latent semantic structure indexing: Difference between revisions

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== Overview ==
 
LaSSI is similar to LSA in that it involves the construction of an occurrence matrix from a corpus of items and the application of [[singular value decomposition]] to that matrix to derive latent features. What differs is that the occurrence matrix represents the frequency of two- and three-dimensional chemical descriptors (rather than natural language terms) found within a [[chemical database]] of chemical structures. This process derives latent chemical structure concepts that can be used to calculate chemical similarities and [[structure-activity relationship]]s for [[drug discovery]].
 
== References ==