| Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling EJ Yeoh, ME Ross, SA Shurtleff, WK Williams, D Patel, R Mahfouz, ... Cancer cell 1 (2), 133-143, 2002 | 2403 | 2002 |
| A comparison of a graph database and a relational database: a data provenance perspective C Vicknair, M Macias, Z Zhao, X Nan, Y Chen, D Wilkins Proceedings of the 48th annual Southeast regional conference, 1-6, 2010 | 645 | 2010 |
| How many queries are needed to learn? L Hellerstein, K Pillaipakkamnatt, V Raghavan, D Wilkins Journal of the ACM (JACM) 43 (5), 840-862, 1996 | 157 | 1996 |
| Improving the performance of SVM-RFE to select genes in microarray data Y Ding, D Wilkins BMC bioinformatics 7, 1-8, 2006 | 101 | 2006 |
| Survey on swarm intelligence based routing protocols for wireless sensor networks: An extensive study T Gui, C Ma, F Wang, DE Wilkins 2016 IEEE international conference on industrial technology (ICIT), 1944-1949, 2016 | 94 | 2016 |
| Evaluating individuals in team projects DE Wilkins, PB Lawhead ACM SIGCSE Bulletin 32 (1), 172-175, 2000 | 85 | 2000 |
| Molecular diagnosis F Markowetz, R Spang Methods of information in medicine 44 (03), 438-443, 2005 | 45 | 2005 |
| Implementation of multiple-instance learning in drug activity prediction G Fu, X Nan, H Liu, RY Patel, PR Daga, Y Chen, DE Wilkins, RJ Doerksen BMC bioinformatics 13, 1-12, 2012 | 44 | 2012 |
| lncRNA gene signatures for prediction of breast cancer intrinsic subtypes and prognosis S Zhang, J Wang, T Ghoshal, D Wilkins, YY Mo, Y Chen, Y Zhou Genes 9 (2), 65, 2018 | 39 | 2018 |
| Learning accurate and interpretable models based on regularized random forests regression S Liu, S Dissanayake, S Patel, X Dang, T Mlsna, Y Chen, D Wilkins BMC systems biology 8, 1-9, 2014 | 35 | 2014 |
| Combined rule extraction and feature elimination in supervised classification S Liu, RY Patel, PR Daga, H Liu, G Fu, RJ Doerksen, Y Chen, DE Wilkins IEEE transactions on nanobioscience 11 (3), 228-236, 2012 | 35 | 2012 |
| The effect of normalization on microarray data analysis Y Ding, D Wilkins DNA and cell biology 23 (10), 635-642, 2004 | 34 | 2004 |
| A novel cluster-based routing protocol wireless sensor networks using spider monkey optimization T Gui, C Ma, F Wang, J Li, DE Wilkins IECON 2016-42nd annual conference of the IEEE industrial electronics society …, 2016 | 33 | 2016 |
| Toward an adaptive WWW: a case study in customized hypermedia KF Gates, PB Lawhead, DE Wilkins New review of hypermedia and multimedia 4 (1), 89-113, 1998 | 33 | 1998 |
| The effectiveness of machine learning techniques for predicting time to case disposition D Wilkins, K Pillaipakkamnatt Proceedings of the 6th international conference on Artificial intelligence …, 1997 | 33 | 1997 |
| Learning μ-branching programs with queries V Raghavan, D Wilkins Proceedings of the sixth annual conference on Computational learning theory …, 1993 | 32 | 1993 |
| Drug activity prediction using multiple-instance learning via joint instance and feature selection Z Zhao, G Fu, S Liu, KM Elokely, RJ Doerksen, Y Chen, DE Wilkins BMC bioinformatics 14, 1-12, 2013 | 28 | 2013 |
| Performance Comparison of Alternative Solutions For Web-To-Database Applications– A Wu, H Wang, D Wilkins Proceedings of the Southern Conference on Computing, 26-28, 2000 | 26 | 2000 |
| Robust clustering in high dimensional data using statistical depths Y Ding, X Dang, H Peng, D Wilkins BMC bioinformatics 8, 1-16, 2007 | 24 | 2007 |
| Quality control for microarray experiments O Hartmann Methods of Information in Medicine 44 (03), 408-413, 2005 | 20 | 2005 |
