S. Stanley Young Papers on DiSC'04 Learning a Complex Metabolomic Dataset Using Random Forests and Support Vector Machines Learning a Complex Metabolomic Dataset Using Random Forests and Support Vector Machines Publications Note: Links lead to the DBLP on the Web. S. Stanley Young Jennifer Pittman , J. Sacks , S. Stanley Young: The Construction and Assessment of a Statistical Model for the Prediction of Protein Assay Data. Journal of Chemical Information and Computer Sciences 42 (3): 729-741 (2002) Bingming Yi , Jacqueline M. Hughes-Oliver , Lei Zhu , S. Stanley Young: A Factorial Design To Optimize Cell-Based Drug Discovery Analysis. Journal of Chemical Information and Computer Sciences 42 (5): 1221-1229 (2002) Xin Chen , Andrew Rusinko III , Alexander Tropsha , S. Stanley Young: Automated Pharmacophore Identification for Large Chemical Data Sets1. Journal of Chemical Information and Computer Sciences 39 (5): 887-896 (1999) Andrew Rusinko III , Mark W. Farmen , Christophe G. Lambert , Paul L. Brown , S. Stanley Young: Analysis of a Large Structure/Biological Activity Data Set Using Recursive Partitioning. Journal of Chemical Information and Computer Sciences 39 (6): 1017-1026 (1999) Xin Chen , Andrew Rusinko III , S. Stanley Young: Recursive Partitioning Analysis of a Large Structure-Activity Data Set Using Three-Dimensional Descriptors1. Journal of Chemical Information and Computer Sciences 38 (6): 1054-1062 (1998) S. Stanley Young, Charles F. Sheffield , Mark Farmen : Optimum Utilization of a Compound Collection or Chemical Library for Drug Discovery. Journal of Chemical Information and Computer Sciences 37 (5): 892-899 (1997) 1 [ 3 ] 2 [ 2 ] [ 4 ] 3 [ 1 ] 4 [ 3 ] 5 [ 5 ] 6 [ 3 ] 7 [ 6 ] 8 [ 2 ] [ 3 ] [ 4 ] 9 [ 6 ] 10 [ 1 ] 11 [ 4 ] 12 [ 5 ] 13 [ 5 ] ©2005 Association for Computing Machinery