Co-operative Evolution of a Neural Classifier and Feature Subset. - Jennifer Hallinan; Paul T. Jackway (SEAL, 1998)

Modeling the spread of antibiotic resistance. - Jennifer S. Hallinan; Janet Wiles (CEC, 2000)

Detection of malignancy associated changes in cervical cells using statistical and evolutionary computation techniques - Jennifer Hallinan (2000)

Guest editorial - evolutionary computation and cognitive science: modeling evolution and evolving models. - Janet Wiles; Jennifer Hallinan (IEEE Trans. Evol. Comput., 2001)

A comparison of neutral landscapes - NK, NKp and NKq. - Nicholas Geard; Janet Wiles; Jennifer Hallinan; Bradley Tonkes; Benjamin Skellett (IEEE Congress on Evolutionary Computation, 2002)

Self-Organization Leads to Hierarchical Modularity in an Internet Community. - Jennifer Hallinan (KES, 2003)

Evolving Genetic Regulatory Networks Using an Artificial Genome. - Jennifer Hallinan; Janet Wiles (APBC, 2004)

Cluster analysis of the p53 genetic regulatory network: topology and biology. - Jennifer Hallinan (CIBCB, 2004)

Network Motifs, Feedback Loops and the Dynamics of Genetic Regulatory Networks. - Jennifer Hallinan; Paul T. Jackway (CIBCB, 2005)

There's more to a model than code: understanding and formalizing in silico modeling experience. - Janet Wiles; Nicholas Geard; James E. M. Watson; Kai Willadsen; John S. Mattick; Daniel R. Bradley; Jennifer Hallinan (GECCO Workshops, 2005)

Evolving Neural Networks for the Classification of Malignancy Associated Changes. - Jennifer Hallinan (IDEAL, 2005)

Effects of an RNA control layer on the state space of Boolean models of genetic regulatory networks. - Jennifer Hallinan; Daniel R. Bradley; John S. Mattick; Janet Wiles (IEEE Congress on Evolutionary Computation, 2006)

Effects of Constitutive Gene Expression on the Dynamics of Random Boolean Networks. - Jennifer Hallinan; Daniel R. Bradley; Janet Wiles (IEEE Congress on Evolutionary Computation, 2006)

Clustering and Cross-talk in a Yeast Functional Interaction Network. - Jennifer Hallinan; Anil Wipat (CIBCB, 2006)

Motifs and Modules in Fractured Functional Yeast Networks. - Jennifer Hallinan; Anil Wipat (CIBCB, 2007)

Network motifs in context: An exploration of the evolution of oscillatory dynamics in transcriptional networks. - Jennifer Hallinan; Anil Wipat (CIBCB, 2008)

Clustering incorporating shortest paths identifies relevant modules in functional interaction networks. - Jennifer Hallinan; Matthew R. Pocock; Stephen G. Addinall; David A. Lydall; Anil Wipat (CIBCB, 2009)

Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes. - Katherine James; Anil Wipat; Jennifer Hallinan (DILS, 2009)

Evolving gene regulatory networks. - Yaochu Jin; Jennifer Hallinan (Biosyst., 2009)

Standard virtual biological parts: a repository of modular modeling components for synthetic biology. - Mike T. Cooling; V. Rouilly; Goksel Misirli; James R. Lawson; Tommy Yu; Jennifer Hallinan; Anil Wipat (Bioinform., 2010)

Model annotation for synthetic biology: automating model to nucleotide sequence conversion. - Goksel Misirli; Jennifer Hallinan; Tommy Yu; James R. Lawson; Sarala M. Wimalaratne; Mike T. Cooling; Anil Wipat (Bioinform., 2011)

Customizable views on semantically integrated networks for systems biology. - 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 (Bioinform., 2011)

Bridging the Gap between Design and Reality - A Dual Evolutionary Strategy for the Design of Synthetic Genetic Circuits. - Jennifer Hallinan; S. Park; Anil Wipat (BIOINFORMATICS, 2012)

Bayesian integration of networks without gold standards. - Jochen Weile; Katherine James; Jennifer Hallinan; Simon J. Cockell; Phillip W. Lord; Anil Wipat; Darren J. Wilkinson (Bioinform., 2012)

Microbase2.0: A Generic Framework for Computationally Intensive Bioinformatics Workflows in the Cloud. - Keith Flanagan; Sirintra Nakjang; Jennifer Hallinan; Colin Harwood; Robert P. Hirt; Matthew R. Pocock; Anil Wipat (J. Integr. Bioinform., 2012)

BacillOndex: An Integrated Data Resource for Systems and Synthetic Biology. - Goksel Misirli; Anil Wipat; Joseph Mullen; Katherine James; Matthew R. Pocock; Wendy Smith; Nick Allenby; Jennifer Hallinan (J. Integr. Bioinform., 2013)

Tuning receiver characteristics in bacterial quorum communication: An evolutionary approach using standard virtual biological parts. - Jennifer Hallinan; Owen Gilfellon; Goksel Misirli; Anil Wipat (CIBCB, 2014)

Composable Modular Models for Synthetic Biology. - Goksel Misirli; Jennifer Hallinan; Anil Wipat (ACM J. Emerg. Technol. Comput. Syst., 2014)

A distributed computational search strategy for the identification of diagnostics targets: Application to finding aptamer targets for methicillin-resistant staphylococci. - Keith Flanagan; Simon J. Cockell; Colin Harwood; Jennifer Hallinan; Sirintra Nakjang; Beth Lawry; Anil Wipat (J. Integr. Bioinform., 2014)

BacillusRegNet: A transcriptional regulation database and analysis platform for Bacillus species. - Goksel Misirli; Jennifer Hallinan; Richard Röttger; Jan Baumbach; Anil Wipat (J. Integr. Bioinform., 2014)

Probabilistic Latent Semantic Analysis Applied to Whole Bacterial Genomes Identifies Common Genomic Features. - Julija Rusakovica; Jennifer Hallinan; Anil Wipat; Paolo Zuliani (J. Integr. Bioinform., 2014)

Computational intelligence for metabolic pathway design: Application to the pentose phosphate pathway. - James Skelton; Jennifer Hallinan; S. Park; Anil Wipat (CIBCB, 2016)

Engineering bacterial populations for pattern formation. - Daniel Sutantyo; Christopher Walker; Nicholas deBono; Jarryd Vargas; Anil Wipat; Jennifer S. Hallinan (CIBCB, 2016)

An Efficient Boolean Modelling Approach for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2021)

Dynamically Regulated Initialization for S-system Modelling of Genetic Networks. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2021)

Ensemble Regression Modelling for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2022)

Integrating steady-state and dynamic gene expression data for improving genetic network modelling. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2022)

Computational intelligence and machine learning in bioinformatics and computational biology. - Madhu Chetty; Jennifer Hallinan; Gonzalo A. Ruz; Anil Wipat (Biosyst., 2022)

Filter feature selection based Boolean Modelling for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (Biosyst., 2022)

Combining kinetic orders for efficient S-System modelling of gene regulatory network. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (Biosyst., 2022)

Modelling the fitness landscapes of a SCRaMbLEd yeast genome. - Bill Yang; Goksel Misirli; Anil Wipat; Jennifer Hallinan (Biosyst., 2022)

A Robust Ensemble Regression Model for Reconstructing Genetic Networks. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Suryani Lim; Jennifer Hallinan; Huy Nguyen (IJCNN, 2023)

Knowledge-Based Intelligent Text Simplification for Biological Relation Extraction. - Jaskaran Gill; Madhu Chetty; Suryani Lim; Jennifer Hallinan (Informatics, 2023)

GRAMP: A gene ranking and model prioritisation framework for building consensus genetic networks. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Suryani Lim; Jennifer Hallinan (Knowl. Based Syst., 2024)

BioBERT based text mining for incorporating prior knowledge in the inference of genetic network models. - Jaskaran Gill; Madhu Chetty; Suryani Lim; Jennifer Hallinan (Comput. Biol. Medicine, 2025)