Dawn Wilkins
Dawn Wilkins
Professor of Computer & Information Science, University of Mississippi
Verified email at cs.olemiss.edu
TitleCited byYear
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
20552002
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, 42, 2010
3872010
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
1331996
Evaluating individuals in team projects
DE Wilkins, PB Lawhead
ACM SIGCSE Bulletin 32 (1), 172-175, 2000
682000
Improving the performance of SVM-RFE to select genes in microarray data
Y Ding, D Wilkins
BMC bioinformatics 7 (2), S12, 2006
622006
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
342016
The effect of normalization on microarray data analysis
Y Ding, D Wilkins
DNA and cell biology 23 (10), 635-642, 2004
332004
Learning μ-branching programs with queries
V Raghavan, D Wilkins
Proceedings of the sixth annual conference on Computational learning theory …, 1993
301993
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
291998
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 (15), S3, 2012
262012
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
261997
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
222012
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
212000
Robust clustering in high dimensional data using statistical depths
Y Ding, X Dang, H Peng, D Wilkins
BMC bioinformatics 8 (7), S8, 2007
202007
Classification and prognosis prediction of acute lymphoblastic leukemia by gene expression profiling
J Downing, EJ Yeoh, D Wilkins, L Wong
US Patent App. 10/391,271, 2004
162004
Classification and prognosis prediction of acute lymphoblastic leukemia by gene expression profiling
J Downing, EJ Yeoh, D Wilkins, L Wong
US Patent App. 10/391,271, 2004
162004
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
152018
Graph ranking for exploratory gene data analysis
C Gao, X Dang, Y Chen, D Wilkins
BMC bioinformatics 10 (11), S19, 2009
142009
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 (3), S5, 2014
132014
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 (14), S16, 2013
122013
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