| 2009 |
| 37 | EE | Christina Boucher,
Daniel G. Brown:
Detecting Motifs in a Large Data Set: Applying Probabilistic Insights to Motif Finding.
BICoB 2009: 139-150 |
| 2008 |
| 36 | EE | Christina Boucher,
Daniel G. Brown,
Stephane Durocher:
On the Structure of Small Motif Recognition Instances.
SPIRE 2008: 269-281 |
| 2007 |
| 35 | EE | Christina Boucher,
Daniel G. Brown,
Paul Church:
A Graph Clustering Approach to Weak Motif Recognition.
WABI 2007: 149-160 |
| 34 | EE | Yichun Xie,
Daniel G. Brown:
Simulation in spatial analysis and modeling.
Computers, Environment and Urban Systems 31(3): 229-231 (2007) |
| 33 | EE | Jiunn-Der Duh,
Daniel G. Brown:
Knowledge-informed Pareto simulated annealing for multi-objective spatial allocation.
Computers, Environment and Urban Systems 31(3): 253-281 (2007) |
| 32 | EE | Amy C. Burnicki,
Daniel G. Brown,
Pierre Goovaerts:
Simulating error propagation in land-cover change analysis: The implications of temporal dependence.
Computers, Environment and Urban Systems 31(3): 282-302 (2007) |
| 31 | EE | Brona Brejová,
Daniel G. Brown,
Tomás Vinar:
The most probable annotation problem in HMMs and its application to bioinformatics.
J. Comput. Syst. Sci. 73(7): 1060-1077 (2007) |
| 2006 |
| 30 | EE | Brona Brejová,
Daniel G. Brown,
Ian M. Harrower,
Tomás Vinar:
New Bounds for Motif Finding in Strong Instances.
CPM 2006: 94-105 |
| 29 | EE | Daniel G. Brown,
Ian M. Harrower:
Integer Programming Approaches to Haplotype Inference by Pure Parsimony.
IEEE/ACM Trans. Comput. Biology Bioinform. 3(2): 141-154 (2006) |
| 28 | EE | Daniel G. Brown,
Yichun Xie:
Spatial agent-based modelling.
International Journal of Geographical Information Science 20(9): 941-943 (2006) |
| 27 | EE | Emily W. Xu,
Paul Kearney,
Daniel G. Brown:
The Use of Functional Domains to Improve Transmembrane Protein Topology Prediction.
J. Bioinformatics and Computational Biology 4(1): 109-124 (2006) |
| 26 | EE | Jinbo Xu,
Daniel G. Brown,
Ming Li,
Bin Ma:
Optimizing Multiple Spaced Seeds for Homology Search.
Journal of Computational Biology 13(7): 1355-1368 (2006) |
| 2005 |
| 25 | EE | Emily W. Xu,
Daniel G. Brown,
Paul Kearney:
The use of functional domains to improve transmembrane protein topology prediction.
APBC 2005: 105-116 |
| 24 | EE | Brona Brejová,
Daniel G. Brown,
Ian M. Harrower,
Alejandro López-Ortiz,
Tomás Vinar:
Sharper Upper and Lower Bounds for an Approximation Scheme for Consensus-Pattern.
CPM 2005: 1-10 |
| 23 | EE | Brona Brejová,
Daniel G. Brown,
Ming Li,
Tomás Vinar:
ExonHunter: a comprehensive approach to gene finding.
ISMB (Supplement of Bioinformatics) 2005: 57-65 |
| 22 | EE | Alexander K. Hudek,
Daniel G. Brown:
Ancestral sequence alignment under optimal conditions.
BMC Bioinformatics 6: 273 (2005) |
| 21 | EE | Daniel G. Brown:
Optimizing Multiple Seeds for Protein Homology Search.
IEEE/ACM Trans. Comput. Biology Bioinform. 2(1): 29-38 (2005) |
| 20 | EE | Daniel G. Brown,
Scott E. Page,
Rick L. Riolo,
Moira Zellner,
William Rand:
Path dependence and the validation of agent-based spatial models of land use.
International Journal of Geographical Information Science 19(2): 153-174 (2005) |
| 19 | EE | Brona Brejová,
Daniel G. Brown,
Tomás Vinar:
Vector seeds: An extension to spaced seeds.
J. Comput. Syst. Sci. 70(3): 364-380 (2005) |
| 18 | EE | Daniel G. Brown,
Rick L. Riolo,
Derek T. Robinson,
Michael North,
William Rand:
Spatial process and data models: Toward integration of agent-based models and GIS.
Journal of Geographical Systems 7(1): 25-47 (2005) |
| 2004 |
| 17 | EE | Jinbo Xu,
Daniel G. Brown,
Ming Li,
Bin Ma:
Optimizing Multiple Spaced Seeds for Homology Search.
CPM 2004: 47-58 |
| 16 | EE | Daniel G. Brown:
Multiple Vector Seeds for Protein Alignment.
WABI 2004: 170-181 |
| 15 | EE | Daniel G. Brown,
Ian M. Harrower:
A New Integer Programming Formulation for the Pure Parsimony Problem in Haplotype Analysis.
WABI 2004: 254-265 |
| 14 | EE | Daniel G. Brown,
Alexander K. Hudek:
New Algorithms for Multiple DNA Sequence Alignment.
WABI 2004: 314-325 |
| 13 | EE | Brona Brejová,
Daniel G. Brown,
Tomás Vinar:
The Most Probable Labeling Problem in HMMs and Its Application to Bioinformatics.
WABI 2004: 426-437 |
| 12 | EE | Daniel G. Brown,
Scott E. Page,
Rick L. Riolo,
William Rand:
Agent-based and analytical modeling to evaluate the effectiveness of greenbelts.
Environmental Modelling and Software 19(12): 1097-1109 (2004) |
| 11 | EE | Daniel G. Brown,
Jiunn-Der Duh:
Spatial simulation for translating from land use to land cover.
International Journal of Geographical Information Science 18(1): 35-60 (2004) |
| 10 | EE | Brona Brejová,
Daniel G. Brown,
Tomás Vinar:
Optimal Spaced Seeds for Homologous Coding Regions.
J. Bioinformatics and Computational Biology 1(4): 595-610 (2004) |
| 9 | EE | Daniel G. Brown,
Ming Li,
Bin Ma:
A Tutorial of Recent Developments in the Seeding of Local Alignment.
J. Bioinformatics and Computational Biology 2(4): 819-842 (2004) |
| 2003 |
| 8 | EE | Brona Brejová,
Daniel G. Brown,
Tomás Vinar:
Optimal Spaced Seeds for Hidden Markov Models, with Application to Homologous Coding Regions.
CPM 2003: 42-54 |
| 7 | EE | Brona Brejová,
Daniel G. Brown,
Tomás Vinar:
Vector Seeds: An Extension to Spaced Seeds Allows Substantial Improvements in Sensitivity and Specifity.
WABI 2003: 39-54 |
| 6 | EE | Brona Brejová,
Daniel G. Brown,
Tomás Vinar:
Optimal DNA Signal Recognition Models with a Fixed Amount of Intrasignal Dependency.
WABI 2003: 78-94 |
| 2002 |
| 5 | EE | Kathleen Bergen,
Daniel G. Brown,
Eric J. Gustafson,
M. Craig Dobson:
Integrating Radar Remote Sensing of Habitat Structure: A Pilot Project for Biodiversity Informatics.
DG.O 2002 |
| 4 | EE | Kathleen Bergen,
Daniel G. Brown,
Eric J. Gustafson,
M. Craig Dobson:
Radar Remote Sensing of Habitat Structure for Biodiversity Informatics.
DG.O 2002 |
| 2001 |
| 3 | EE | Daniel G. Brown:
A probabilistic analysis of a greedy algorithm arising from computational biology.
SODA 2001: 206-207 |
| 2000 |
| 2 | EE | Daniel G. Brown,
Todd J. Vision,
Steven D. Tanksley:
Selective mapping: a discrete optimization approach to selecting a population subset for use in a high-density genetic mapping project.
SODA 2000: 419-428 |
| 1998 |
| 1 | | Daniel G. Brown:
Classification and Boundary Vagueness in Mapping Presettlement Forest Types.
International Journal of Geographical Information Science 12(2): 105-129 (1998) |