2007 |
15 | EE | Sukjoon Yoon,
William J. Welsh,
Heeyoung Jung,
Young Do Yoo:
CSSP2: An improved method for predicting contact-dependent secondary structure propensity.
Computational Biology and Chemistry 31(5-6): 373-377 (2007) |
2006 |
14 | EE | Elizabeth A. Amin,
William J. Welsh:
Highly Predictive CoMFA and CoMSIA Models for Two Series of Stromelysin-1 (MMP-3) Inhibitors Elucidate S1' and S1-S2' Binding Modes.
Journal of Chemical Information and Modeling 46(4): 1775-1783 (2006) |
13 | EE | Adrian D. Haimovich,
Bruce Byrne,
Ramakrishna Ramaswamy,
William J. Welsh:
Wavelet Analysis of DNA Walks.
Journal of Computational Biology 13(7): 1289-1298 (2006) |
2005 |
12 | EE | Qidong Zhang,
Sukjoon Yoon,
William J. Welsh:
Improved method for predicting ?-turn using support vector machine.
Bioinformatics 21(10): 2370-2374 (2005) |
11 | EE | Rebecka Jörnsten,
Hui-Yu Wang,
William J. Welsh,
Ming Ouyang:
DNA microarray data imputation and significance analysis of differential expression.
Bioinformatics 21(22): 4155-4161 (2005) |
10 | EE | Karthigeyan Nagarajan,
Randy J. Zauhar,
William J. Welsh:
Enrichment of Ligands for the Serotonin Receptor Using the Shape Signatures Approach.
Journal of Chemical Information and Modeling 45(1): 49-57 (2005) |
2004 |
9 | EE | Ming Ouyang,
William J. Welsh,
Panos Georgopoulos:
Gaussian mixture clustering and imputation of microarray data.
Bioinformatics 20(6): 917-923 (2004) |
8 | EE | Sukjoon Yoon,
William J. Welsh:
Identification of a Minimal Subset of Receptor Conformations for Improved Multiple Conformation Docking and Two-Step Scoring.
Journal of Chemical Information and Modeling 44(1): 88-96 (2004) |
7 | EE | Jack R. Smith,
Doyle Knight,
Joachim Kohn,
Khaled Rasheed,
Norbert Weber,
Vladyslav V. Kholodovych,
William J. Welsh:
Using Surrogate Modeling in the Prediction of Fibrinogen Adsorption onto Polymer Surfaces.
Journal of Chemical Information and Modeling 44(3): 1088-1097 (2004) |
2003 |
6 | EE | Swati Puri,
James S. Chickos,
William J. Welsh:
Three-Dimensional Quantitative Structure-Property Relationship (3D-QSPR) Models for Prediction of Thermodynamic Properties of Polychlorinated Biphenyls (PCBs): Enthalpies of Fusion and Their Application to Estimates of Enthalpies of Sublimation and Aqueous Solubilities.
Journal of Chemical Information and Computer Sciences 43(1): 55-62 (2003) |
5 | EE | Yiyu Cheng,
Minjun Chen,
William J. Welsh:
Fractal Fingerprinting of Chromatographic Profiles Based on Wavelet Analysis and Its Application To Characterize the Quality Grade of Medicinal Herbs.
Journal of Chemical Information and Computer Sciences 43(6): 1959-1965 (2003) |
2002 |
4 | EE | Swati Puri,
James S. Chickos,
William J. Welsh:
Three-Dimensional Quantitative Structure-Property Relationship (3D-QSPR) Models for Prediction of Thermodynamic Properties of Polychlorinated Biphenyls (PCBs): Enthalpy of Sublimation.
Journal of Chemical Information and Computer Sciences 42(1): 109-116 (2002) |
3 | EE | Swati Puri,
James S. Chickos,
William J. Welsh:
Three-Dimensional Quantitative Structure-Property Relationship (3D-QSPR) Models for Prediction of Thermodynamic Properties of Polychlorinated Biphenyls (PCBs): Enthalpy of Vaporization.
Journal of Chemical Information and Computer Sciences 42(2): 299-304 (2002) |
1998 |
2 | EE | Igor V. Tetko,
Alessandro E. P. Villa,
Tatyana I. Aksenova,
Walter L. Zielinski,
James Brower,
Elizabeth R. Collantes,
William J. Welsh:
Application of a Pruning Algorithm To Optimize Artificial Neural Networks for Pharmaceutical Fingerprinting.
Journal of Chemical Information and Computer Sciences 38(4): 660-668 (1998) |
1 | EE | Weida Tong,
David R. Lowis,
Roger Perkins,
Yu Chen,
William J. Welsh,
Dean W. Goddette,
Trevor W. Heritage,
Daniel M. Sheehan:
Evaluation of Quantitative Structure-Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor.
Journal of Chemical Information and Computer Sciences 38(4): 669-677 (1998) |