Hyperdimensionality in QSAR: Cutting problems to workable sizes
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Publisher
Springer Netherlands
Link
http://link.springer.com/content/pdf/10.1007/978-94-011-1472-1_60.pdf
Reference6 articles.
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2. Rose, V.S., Wood, J. and MacFie, H.J.H., Single Class Discrimination Using Principal Component Analysis (SCD-PCA), Quant. Struct.-Act. Relat., 10(1991)359–368.
3. Dunn, W.J. and Wold, S., A Structure-Carcinogenicity Study of 4-Nitroquinoline 1-Oxides Using the SIMCA Method of Pattern Recognition, J. Med. Chem., 21(1978)1001–1007.
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5. McFarland, J.W. and Gans, D.J., Cluster Significance Analysis: A New QSAR Tool for Asymmetric Data Sets, Drug Information J., 24(1990)705–711.
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1. On Identifying Likely Determinants of Biological Activity in High Dimensional QSAR Problems;QSAR & Combinatorial Science;1994
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