Professor Geoffrey McLachlan
Professor

Geoffrey McLachlan

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Phone: 
+61 7 336 52150

Background

Professor Geoffrey McLachlan's research interests are in: data mining, statistical analysis of microarray, gene expression data, finite mixture models and medical statistics.

Professor McLachlan received his PhD from the University of Queensland in 1974 and his DSc from there in 1994. His current research projects in statistics are in the related fields of classification, cluster and discriminant analyses, image analysis, machine learning, neural networks, and pattern recognition, and in the field of statistical inference. The focus in the latter field has been on the theory and applications of finite mixture models and on estimation via the EM algorithm.

A common theme of his research in these fields has been statistical computation, with particular attention being given to the computational aspects of the statistical methodology. This computational theme extends to Professor McLachlan's more recent interests in the field of data mining.

He is also actively involved in research in the field of medical statistics and, more recently, in the statistical analysis of microarray gene expression data.

Availability

Professor Geoffrey McLachlan is:
Available for supervision
Media expert

Fields of research

Statistics

Qualifications

  • Bachelor (Honours) of Science (Advanced), The University of Queensland
  • Doctor of Philosophy, The University of Queensland
  • Doctoral Diploma of Science (Advanced), The University of Queensland
  • Australian Mathematical Society, Australian Mathematical Society

Search Professor Geoffrey McLachlan’s works on UQ eSpace

370 works between 1972 and 2024
All (370) Journal Article (249) Book Chapter (34) Conference Publication (75) Book (9) Other Outputs (2) Edited Outputs (1)

241 - 260 of 370 works

2002

Journal Article

Selection bias in gene extraction on the basis of microarray gene-expression data

Ambroise, Christophe and McLachlan, Geoffrey J. (2002). Selection bias in gene extraction on the basis of microarray gene-expression data. Proceedings of the National Academy of Sciences of the United States of America, 99 (10), 6562-6566. doi: 10.1073/pnas.102102699

Selection bias in gene extraction on the basis of microarray gene-expression data

2002

Journal Article

Influence of patient age and implantation technique on the probability of re-replacement of the homograft aortic valve

Ng, S. K., O'Brien, M. F., Harrocks, S. N. and McLachlan, G. J. (2002). Influence of patient age and implantation technique on the probability of re-replacement of the homograft aortic valve. Journal of Heart Valve Disease, 11 (2), 217-223.

Influence of patient age and implantation technique on the probability of re-replacement of the homograft aortic valve

2002

Journal Article

Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data

Cadez, I. V., Smyth, P., McLachlan, G. J. and McLaren, C. E. (2002). Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data. Machine Learning, 47 (1), 7-34. doi: 10.1023/A:1013679611503

Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data

2002

Conference Publication

On speeding up the EM algorithm in pattern recognition: A comparison of incremental and multiresolution KD -tree-based approaches

Ng, A.S. K. and McLachlan, G. J. (2002). On speeding up the EM algorithm in pattern recognition: A comparison of incremental and multiresolution KD -tree-based approaches. Proc. of the Sixth Digital Image Computing Techniques & Applications, Melbourne University, 21-22 January. Melbourne: Australian Pattern Recognition Society.

On speeding up the EM algorithm in pattern recognition: A comparison of incremental and multiresolution KD -tree-based approaches

2002

Journal Article

Nearest-neighbor variance estimation (NNVE): Robust covariance estimation via nearest-neighbor cleaning - Comment

McLachlan, G. J. and Hamaty, K. L. (2002). Nearest-neighbor variance estimation (NNVE): Robust covariance estimation via nearest-neighbor cleaning - Comment. Journal of The American Statistical Association, 97 (460), 1009-1011. doi: 10.1198/016214502388618807

Nearest-neighbor variance estimation (NNVE): Robust covariance estimation via nearest-neighbor cleaning - Comment

2002

Journal Article

A mixture model-based approach to the clustering of microarray expression data

McLachlan, GJ, Bean, RW and Peel, D (2002). A mixture model-based approach to the clustering of microarray expression data. Bioinformatics, 18 (3), 413-422. doi: 10.1093/bioinformatics/18.3.413

A mixture model-based approach to the clustering of microarray expression data

2001

Journal Article

MRI based diffusion and perfusion predictive model to estimate stroke evolution

Rose, Stephen E., Chalk, Jonathan B., Griffin, Mark P., Janke, Andrew L., Chen, Fang, Mclachlan, Geoffrey J., Peel, David, Zelaya, Fernando O., Markus, Hugh S., Jones, Derek K., Simmons, Andrew, O'Sullivan, Michael, Jarosz, Jo M., Strugnell, Wendy and Doddrell, David M. (2001). MRI based diffusion and perfusion predictive model to estimate stroke evolution. Magnetic Resonance Imaging, 19 (8), 1043-1053. doi: 10.1016/S0730-725X(01)00435-0

MRI based diffusion and perfusion predictive model to estimate stroke evolution

2001

Journal Article

Letter to the editor

McLachlan, G. J. (2001). Letter to the editor. Journal of Agricultural, Biological, and Environmental Statistics, 6 (2), 302-304. doi: 10.1198/108571101750524797

Letter to the editor

2001

Journal Article

Fitting mixtures of Kent distributions to aid in joint set identification

Peel, D, Whiten, WJ and McLachlan, GJ (2001). Fitting mixtures of Kent distributions to aid in joint set identification. Journal of The American Statistical Association, 96 (453), 56-63. doi: 10.1198/016214501750332974

Fitting mixtures of Kent distributions to aid in joint set identification

2001

Other Outputs

Multivariate analysis: Classification and discriminant analysis

McLachlan, G. J. (2001). Multivariate analysis: Classification and discriminant analysis.

Multivariate analysis: Classification and discriminant analysis

2000

Journal Article

Robust Mixture Modelling Using the t Distribution

Peel, D. and McLachlan, G. J. (2000). Robust Mixture Modelling Using the t Distribution. Statistics and Computing, 10 (4), 339-348. doi: 10.1023/A:1008981510081

Robust Mixture Modelling Using the t Distribution

2000

Journal Article

Heterogeneity in schizophrenia; mixture modelling of age-at-first-admission, gender and diagnosis

Welham, J., McLachlan, G., Davies, G. and McGrath, J. (2000). Heterogeneity in schizophrenia; mixture modelling of age-at-first-admission, gender and diagnosis. Acta Psychiatrica Scandinavica, 101 (4), 312-317. doi: 10.1034/j.1600-0447.2000.101004312.x

Heterogeneity in schizophrenia; mixture modelling of age-at-first-admission, gender and diagnosis

2000

Conference Publication

Multivariate mixture models for classification of anemias

McLaren, C. E., Cadez, I. V., Smyth, P. and McLachlan, G. J. (2000). Multivariate mixture models for classification of anemias. 2000 Proceedings of the Biometrics Sect. of the Amer.Stat.Ass, Indianapolis, USA, August 2000. Virginia, USA: American Statistical Association.

Multivariate mixture models for classification of anemias

2000

Conference Publication

Mixture of factor analyzers

McLachlan, G. J. and Peel, D. (2000). Mixture of factor analyzers. Seventh International Conference on Machine Learning (ICML - 2000), California, United States, June 29 - July 2 2000. San Francisco, CA United States: Morgan Kaufmann.

Mixture of factor analyzers

2000

Journal Article

Patient-specific Analysis of Sequential Haematological Data by Multiple Linear Regression and Mixture Distribution Modelling

McLaren, C. E., Kambour, E. L., McLachlan, G. J., Lukaski, H. C., Li, X., Brittenham, G. M. and McLaren, G. D. (2000). Patient-specific Analysis of Sequential Haematological Data by Multiple Linear Regression and Mixture Distribution Modelling. Statistics in Medicine, 19 (1), 83-98. doi: 10.1002/(SICI)1097-0258(20000115)19:13.0.CO;2-A

Patient-specific Analysis of Sequential Haematological Data by Multiple Linear Regression and Mixture Distribution Modelling

2000

Book

Finite mixture models: McLachlan/finite mixture models

McLachlan, Geoffrey and Peel, David (2000). Finite mixture models: McLachlan/finite mixture models. Hoboken, NJ, USA: John Wiley & Sons. doi: 10.1002/0471721182

Finite mixture models: McLachlan/finite mixture models

2000

Book

Finite Mixture Models

McLachlan, G. J. and Peel, D. (2000). Finite Mixture Models. New York: John Wiley & Sons.

Finite Mixture Models

2000

Journal Article

Heterogeneity in schizophrenia; mixture modelling of age-at-first admission, gender and diagnosis

Welham, J., McLachlan, G. J., Davies, G. and McGrath, J. J. (2000). Heterogeneity in schizophrenia; mixture modelling of age-at-first admission, gender and diagnosis. Acta Pyschiatrica Scandinavica, 1, 312-317.

Heterogeneity in schizophrenia; mixture modelling of age-at-first admission, gender and diagnosis

1999

Journal Article

The EMMIX software for the fitting of mixtures of normal and t-components

McLachlan, G. J., Peel, D., Basford, K. E. and Adams, P. (1999). The EMMIX software for the fitting of mixtures of normal and t-components. Journal of Statistical Software, 4 (2).

The EMMIX software for the fitting of mixtures of normal and t-components

1999

Journal Article

Constrained mixture models in competing risks problems

Ng, SK, McLachlan, GJ, McGiffin, DC and OBrien, MF (1999). Constrained mixture models in competing risks problems. Environmetrics, 10 (6), 753-767. doi: 10.1002/(SICI)1099-095X(199911/12)10:63.3.CO;2-B

Constrained mixture models in competing risks problems

Current funding

  • 2023 - 2026
    A Novel Approach to Semi-Supervised Statistical Machine Learning
    ARC Discovery Projects
    Open grant

Past funding

  • 2018 - 2022
    Classification methods for providing personalised and class decisions
    ARC Discovery Projects
    Open grant
  • 2017 - 2024
    ARC Training Centre for Innovation in Biomedical Imaging Technology
    ARC Industrial Transformation Training Centres
    Open grant
  • 2017 - 2020
    Power Quality Monitoring of Grids with High Penetration of Power Converters
    ARC Linkage Projects
    Open grant
  • 2017 - 2020
    Expanding the Role of Mixture Models in Statistical Analyses of Big Data
    ARC Discovery Projects
    Open grant
  • 2015 - 2018
    Gene expression profiling in critically ill patients with septic shock: The ADRENAL-GEPS Study
    NHMRC Project Grant
    Open grant
  • 2015 - 2017
    Large-Scale Statistical Inference: Multiple Testing
    ARC Discovery Projects
    Open grant
  • 2014 - 2016
    System to Synapse
    ARC Linkage Projects
    Open grant
  • 2014 - 2017
    Advanced Mixture Models for the Analysis of Modern-Day Data
    ARC Discovery Projects
    Open grant
  • 2012 - 2014
    System to synapse: a small animal imaging suite
    UQ Collaboration and Industry Engagement Fund
    Open grant
  • 2012 - 2014
    Joint Clustering and Matching of Multivariate Samples Across Objects
    ARC Discovery Projects
    Open grant
  • 2012 - 2014
    Statistical Modelling of Complex, High-Dimensional Data
    Vice-Chancellor's Senior Research Fellowship
    Open grant
  • 2011 - 2013
    A New Approach to Fast Matrix Factorization for the Statistical Analysis of High-Dimensional Data
    ARC Discovery Projects
    Open grant
  • 2008 - 2010
    Mixture models for high-dimensional clustering with applications to tumour classification, network intrusion, and text classification
    ARC Discovery Projects
    Open grant
  • 2007 - 2011
    Multivariate Methods for the Analysis of Microarray Gene-Expression Data with Applications to Cancer Diagnostics
    ARC Discovery Projects
    Open grant
  • 2007 - 2009
    Noncoding RNAs as prognostic markers and therapeutic targets in breast cancer
    NHMRC Project Grant
    Open grant
  • 2004
    ARC Network in Imaging Science and Technology
    ARC Seed Funding for Research Networks
    Open grant
  • 2004
    ARC Research Network in Microarray Technology
    ARC Seed Funding for Research Networks
    Open grant
  • 2003 - 2010
    ARC Centre of Excellence in Bioinformatics
    ARC Centres of Excellence
    Open grant
  • 2003
    Classification of Microarray Gene-expression Data
    UQ External Support Enabling Grant
    Open grant
  • 2003
    Classification of Microarray Gene-Expression Data
    ARC Discovery Projects
    Open grant
  • 2003
    Unsupervised learning of finite mixture models in data mining applications
    ARC Discovery Projects
    Open grant
  • 2000 - 2002
    Classification of Multiply Observed Features in Terms of Fitted Densities
    ARC Australian Research Council (Large grants)
    Open grant
  • 2000 - 2002
    On Algorithms for the Automatic Analysis and Segmentation of Correlated Images
    ARC Australian Research Council (Large grants)
    Open grant
  • 1999 - 2001
    Artificial Neural Networks and the EM Algorithm
    ARC Australian Research Council (Large grants)
    Open grant
  • 1999
    On mixture regression models with constrained components for application to failure data on heart valves
    ARC Australian Research Council (Small grants)
    Open grant
  • 1998
    Robust cluster analysis
    ARC Australian Research Council (Small grants)
    Open grant
  • 1997
    On mixture models in medical imaging
    ARC Australian Research Council (Small grants)
    Open grant
  • 1997 - 1999
    The Analysis of Plant Adaptation Data with Emphasis on Unbalanced Sets
    ARC Australian Research Council (Large grants)
    Open grant
  • 1995 - 1997
    Approximation of multi-dimensional functions for curve fitting and model building
    ARC Australian Research Council (Large grants)
    Open grant

Availability

Professor Geoffrey McLachlan is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

Contact Professor Geoffrey McLachlan directly for media enquiries about:

  • Bioinformatics
  • Computation - statistics
  • Computer learning
  • Data mining
  • Gene expression data
  • Image analysis - statistics
  • Machine learning
  • Neural networks
  • Pattern recognition - statistics
  • Statistical methodology
  • Statistics

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