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'''Latent
LaSSI was developed at [[Merck & Co.]] and patented in 2007<ref>{{Cite
== 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 [[
== References ==
{{Reflist}}
* Hull, R.D., Fluder, E.M., Singh, S.B., Nachbar, R.B., Sheridan, R.P. and Kearsley, S.K. (2001) "Latent semantic structure indexing (LaSSI) for defining chemical similarity." J Med Chem, 2001 Apr 12;44(8):
* Hull, R.D., Singh, S.B., Nachbar, R.B., Sheridan, R.P.,
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▲* Singh, S.B., Sheridan, R.P., Fluder, E.M. and Hull, R.D. (2001) "Mining the chemical quarry with joint chemical probes: an application of latent semantic structure indexing (LaSSI) and TOPOSIM (Dice) to chemical database mining." J Med Chem, 2001 May 10;44(10):1564-75.
[[Category:Cheminformatics]]
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