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Jennifer Hallinan
Person information
- affiliation: Macquarie University, Sydney, Australia
- affiliation: Newcastle University, UK
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2020 – today
- 2024
- [j18]Hasini Nakulugamuwa Gamage, Madhu Chetty, Suryani Lim, Jennifer Hallinan:
GRAMP: A gene ranking and model prioritisation framework for building consensus genetic networks. Knowl. Based Syst. 302: 112374 (2024) - 2023
- [j17]Jaskaran Gill, Madhu Chetty, Suryani Lim, Jennifer Hallinan:
Knowledge-Based Intelligent Text Simplification for Biological Relation Extraction. Informatics 10(4): 89 (2023) - [c26]Hasini Nakulugamuwa Gamage, Madhu Chetty, Suryani Lim, Jennifer Hallinan, Huy Nguyen:
A Robust Ensemble Regression Model for Reconstructing Genetic Networks. IJCNN 2023: 1-8 - 2022
- [j16]Bill Yang, Goksel Misirli, Anil Wipat, Jennifer Hallinan:
Modelling the fitness landscapes of a SCRaMbLEd yeast genome. Biosyst. 219: 104730 (2022) - [j15]Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan:
Combining kinetic orders for efficient S-System modelling of gene regulatory network. Biosyst. 220: 104736 (2022) - [j14]Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan:
Filter feature selection based Boolean Modelling for Genetic Network Inference. Biosyst. 221: 104757 (2022) - [j13]Madhu Chetty, Jennifer Hallinan, Gonzalo A. Ruz, Anil Wipat:
Computational intelligence and machine learning in bioinformatics and computational biology. Biosyst. 222: 104792 (2022) - [c25]Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan:
Ensemble Regression Modelling for Genetic Network Inference. CIBCB 2022: 1-8 - [c24]Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan:
Integrating steady-state and dynamic gene expression data for improving genetic network modelling. CIBCB 2022: 1-8 - 2021
- [c23]Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan:
An Efficient Boolean Modelling Approach for Genetic Network Inference. CIBCB 2021: 1-8 - [c22]Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan:
Dynamically Regulated Initialization for S-system Modelling of Genetic Networks. CIBCB 2021: 1-8 - [c21]Bill Yang, Goksel Misirli, Anil Wipat, Jennifer Hallinan:
Modelling The Fitness Landscapes of a SCRaMbLEd Yeast Genome. CIBCB 2021: 1-9 - [e1]Jennifer Hallinan, Madhu Chetty, Gonzalo Ruz Heredia, Adrian Shatte, Suryani Lim:
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2021, Melbourne, Australia, October 13-15, 2021. IEEE 2021, ISBN 978-1-6654-0112-8 [contents]
2010 – 2019
- 2016
- [c20]James Skelton, Jennifer Hallinan, S. Park, Anil Wipat:
Computational intelligence for metabolic pathway design: Application to the pentose phosphate pathway. CIBCB 2016: 1-6 - [c19]Daniel Sutantyo, Christopher Walker, Nicholas deBono, Jarryd Vargas, Anil Wipat, Jennifer S. Hallinan:
Engineering bacterial populations for pattern formation. CIBCB 2016: 1-6 - 2014
- [j12]Goksel Misirli, Jennifer Hallinan, Anil Wipat:
Composable Modular Models for Synthetic Biology. ACM J. Emerg. Technol. Comput. Syst. 11(3): 22:1-22:19 (2014) - [j11]Keith Flanagan, Simon J. Cockell, Colin Harwood, Jennifer Hallinan, Sirintra Nakjang, Beth Lawry, Anil Wipat:
A distributed computational search strategy for the identification of diagnostics targets: Application to finding aptamer targets for methicillin-resistant staphylococci. J. Integr. Bioinform. 11(2) (2014) - [j10]Goksel Misirli, Jennifer Hallinan, Richard Röttger, Jan Baumbach, Anil Wipat:
BacillusRegNet: A transcriptional regulation database and analysis platform for Bacillus species. J. Integr. Bioinform. 11(2) (2014) - [j9]Julija Rusakovica, Jennifer Hallinan, Anil Wipat, Paolo Zuliani:
Probabilistic Latent Semantic Analysis Applied to Whole Bacterial Genomes Identifies Common Genomic Features. J. Integr. Bioinform. 11(2) (2014) - [c18]Jennifer Hallinan, Owen Gilfellon, Goksel Misirli, Anil Wipat:
Tuning receiver characteristics in bacterial quorum communication: An evolutionary approach using standard virtual biological parts. CIBCB 2014: 1-8 - 2013
- [j8]Goksel Misirli, Anil Wipat, Joseph Mullen, Katherine James, Matthew R. Pocock, Wendy Smith, Nick Allenby, Jennifer Hallinan:
BacillOndex: An Integrated Data Resource for Systems and Synthetic Biology. J. Integr. Bioinform. 10(2) (2013) - 2012
- [j7]Jochen Weile, Katherine James, Jennifer Hallinan, Simon J. Cockell, Phillip W. Lord, Anil Wipat, Darren J. Wilkinson:
Bayesian integration of networks without gold standards. Bioinform. 28(11): 1495-1500 (2012) - [j6]Keith Flanagan, Sirintra Nakjang, Jennifer Hallinan, Colin Harwood, Robert P. Hirt, Matthew R. Pocock, Anil Wipat:
Microbase2.0: A Generic Framework for Computationally Intensive Bioinformatics Workflows in the Cloud. J. Integr. Bioinform. 9(2) (2012) - [c17]Jennifer Hallinan, S. Park, Anil Wipat:
Bridging the Gap between Design and Reality - A Dual Evolutionary Strategy for the Design of Synthetic Genetic Circuits. BIOINFORMATICS 2012: 263-268 - 2011
- [j5]Goksel Misirli, Jennifer Hallinan, Tommy Yu, James R. Lawson, Sarala M. Wimalaratne, Mike T. Cooling, Anil Wipat:
Model annotation for synthetic biology: automating model to nucleotide sequence conversion. Bioinform. 27(7): 973-979 (2011) - [j4]Jochen Weile, Matthew R. Pocock, Simon J. Cockell, Phillip W. Lord, James M. Dewar, Eva-Maria Holstein, Darren J. Wilkinson, David A. Lydall, Jennifer Hallinan, Anil Wipat:
Customizable views on semantically integrated networks for systems biology. Bioinform. 27(9): 1299-1306 (2011) - 2010
- [j3]Mike T. Cooling, V. Rouilly, Goksel Misirli, James R. Lawson, Tommy Yu, Jennifer Hallinan, Anil Wipat:
Standard virtual biological parts: a repository of modular modeling components for synthetic biology. Bioinform. 26(7): 925-931 (2010)
2000 – 2009
- 2009
- [j2]Yaochu Jin, Jennifer Hallinan:
Evolving gene regulatory networks. Biosyst. 98(3) (2009) - [c16]Jennifer Hallinan, Matthew R. Pocock, Stephen G. Addinall, David A. Lydall, Anil Wipat:
Clustering incorporating shortest paths identifies relevant modules in functional interaction networks. CIBCB 2009: 228-236 - [c15]Katherine James, Anil Wipat, Jennifer Hallinan:
Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes. DILS 2009: 31-46 - 2008
- [c14]Jennifer Hallinan, Anil Wipat:
Network motifs in context: An exploration of the evolution of oscillatory dynamics in transcriptional networks. CIBCB 2008: 83-89 - 2007
- [c13]Jennifer Hallinan, Anil Wipat:
Motifs and Modules in Fractured Functional Yeast Networks. CIBCB 2007: 189-196 - 2006
- [c12]Jennifer Hallinan, Daniel R. Bradley, Janet Wiles:
Effects of Constitutive Gene Expression on the Dynamics of Random Boolean Networks. IEEE Congress on Evolutionary Computation 2006: 2355-2361 - [c11]Jennifer Hallinan, Daniel R. Bradley, John S. Mattick, Janet Wiles:
Effects of an RNA control layer on the state space of Boolean models of genetic regulatory networks. IEEE Congress on Evolutionary Computation 2006: 2551-2555 - [c10]Jennifer Hallinan, Anil Wipat:
Clustering and Cross-talk in a Yeast Functional Interaction Network. CIBCB 2006: 1-8 - 2005
- [c9]Jennifer Hallinan, Paul T. Jackway:
Network Motifs, Feedback Loops and the Dynamics of Genetic Regulatory Networks. CIBCB 2005: 90-96 - [c8]Janet Wiles, Nicholas Geard, James E. M. Watson, Kai Willadsen, John S. Mattick, Daniel R. Bradley, Jennifer Hallinan:
There's more to a model than code: understanding and formalizing in silico modeling experience. GECCO Workshops 2005: 281-288 - [c7]Jennifer Hallinan:
Evolving Neural Networks for the Classification of Malignancy Associated Changes. IDEAL 2005: 382-389 - 2004
- [c6]Jennifer Hallinan, Janet Wiles:
Evolving Genetic Regulatory Networks Using an Artificial Genome. APBC 2004: 291-296 - [c5]Jennifer Hallinan:
Cluster analysis of the p53 genetic regulatory network: topology and biology. CIBCB 2004: 1-8 - 2003
- [c4]Jennifer Hallinan:
Self-Organization Leads to Hierarchical Modularity in an Internet Community. KES 2003: 914-920 - 2002
- [c3]Nicholas Geard, Janet Wiles, Jennifer Hallinan, Bradley Tonkes, Benjamin Skellett:
A comparison of neutral landscapes - NK, NKp and NKq. IEEE Congress on Evolutionary Computation 2002: 205-210 - 2001
- [j1]Janet Wiles, Jennifer Hallinan:
Guest editorial - evolutionary computation and cognitive science: modeling evolution and evolving models. IEEE Trans. Evol. Comput. 5(2): 89-92 (2001) - 2000
- [b1]Jennifer Hallinan:
Detection of malignancy associated changes in cervical cells using statistical and evolutionary computation techniques. University of Queensland, Australia, 2000 - [c2]Jennifer S. Hallinan, Janet Wiles:
Modeling the spread of antibiotic resistance. CEC 2000: 1152-1159
1990 – 1999
- 1998
- [c1]Jennifer Hallinan, Paul T. Jackway:
Co-operative Evolution of a Neural Classifier and Feature Subset. SEAL 1998: 397-404
Coauthor Index
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