Development of a Spectral Clustering Method for the Analysis of Molecular Data Sets. Brewer, M. J.~Chem.~Inf.~Model., 2007.
doi  abstract   bibtex   
A spectral clustering method is presented and applied to two-dimensional molecular structures, where it has been found particularly useful in the analysis of screening data. The method provides a means to quantify (1) the degree of intermolecular similarity within a cluster and (2) the contribution that the features of a molecule make to a cluster. In an application of the spectral clustering method to an example data set of 125 COX-2 inhibitors, these two criteria were used to place the molecules into clusters of chemically related two-dimensional structures.
@article{Brewer:2007aa,
	Abstract = {A spectral clustering method is presented and applied to two-dimensional molecular structures, where it has been found particularly useful in the analysis of screening data. The method provides a means to quantify (1) the degree of intermolecular similarity within a cluster and (2) the contribution that the features of a molecule make to a cluster. In an application of the spectral clustering method to an example data set of 125 COX-2 inhibitors, these two criteria were used to place the molecules into clusters of chemically related two-dimensional structures.},
	Author = {Brewer, M.L.},
	Date-Added = {2007-12-11 17:01:03 -0500},
	Date-Modified = {2008-04-28 14:10:42 -0400},
	Doi = {10.1021/ci600565r},
	Journal = {J.~Chem.~Inf.~Model.},
	Keywords = {spectral clustering},
	Local-Url = {file://localhost/Users/rguha/Documents/articles/ci600565r.pdf},
	Title = {Development of a Spectral Clustering Method for the Analysis of Molecular Data Sets},
	Year = {2007},
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