研究・教育歴
| 1. 2001, Bachelor of Science, Class I Hons., Statistics, Mathematics and Computer Science, James Cook University, Townsville, Australia
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| 2. 2007, Doctor of Philosophy, James Cook University, Townsville, Australia | |
専門分野
Statistics, Mathematics and Computer Science applied to systems biology and bioinformatics
主な研究テーマ
- Systems biology and Bioinformatics
主な論文・著書
- Hancock T, Mamitsuka H, Boosted Network Classifiers for Local Feature Selection IEEE Transactions in Neural Networks 23(11), 1793-1804 (2012)
- D. Coomans, C. Smyth, I. Lee, Hancock T., Unsupervised Data Mining: Introduction Comprehensive Chemometrics: Chemical and Biochemical Data Analysis (2009)
- Hancock, T., Smyth, C. , Tree-Based Clustering and Extensions Comprehensive Chemometrics: Chemical and Biochemical Data Analysis (Tree-Based Clustering and Extensions)
- Hancock, T., Coomans, D., and Everingham, Y, Supervised hierarchical clustering using CART Hancock, T., Coomans, D., and Everingham, Y (2003)
- Using Grid computing to achieve timely data mining, Sim, N., Coomans, D., Atkinson, I., Hancock, T. Sim, N., Coomans, D., Atkinson, I., Hancock, T. (2004)
- Multivariate regression trees for cluster analysis, Multivariate regression trees for cluster analysis International Symposium on Business and Industrial Statistics (ISBIS) (2004)
- Hancock, T., Coomans, D., and Everingham, Y, A Combination of Genetic Algorithms and Boosted Regression Trees for the Prediction RNase L Levels in Subsets of Chronic Fatigue Proceedings of the International Biometrics Conference (IBC) (2004)
- Hancock, T., Mamitsuka H., Semi-Supervised Graph Partitioning with Decision Trees International Workshop on Bioinformatics and Systems Biology (IBSB) (2008)
- Hancock, T., Mamitsuka H., Active Pathway Identification and Classification with Probabilistic Ensembles International Workshop on Bioinformatics and Systems Biology (IBSB) (2009)
- Hancock, T., Mamitsuka H., A Markov classification model for metabolic pathways Workshop on Algorithms in Bioinformatics (WABI) (2009)
- Hancock, T., Mamitsuka H., Boosted Optimization for Network Classification Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010) (JMLR: Workshop and Conference Proceedings) 9, (2010)
- Christine Smyth, Danny Coomans, Yvette Everingham, Timothy Hancock, Auto-associative Multivariate Regression Trees for Cluster Analysis Chemometrics and Intelligent Laboratory Systems 80, 120-129 (2006)
- David Donald, Tim Hancock, Danny Coomans, Yvette Everingham, Bagged super wavelets reduction for boosted prostate cancer classification of seldi-tof mass spectral serum profiles Chemolab 82, 2-7 (2006)
- Tim Hancock, Raf Put, Danny Coomans, Yvan Vander Heyden, Yvette Everingham, A performance comparison of modern statistical techniques for molecular descriptor selection and retention prediction in chromatographic QSRR studies Chemolab 76, 185-196 (2005)
- David Donald, Danny Coomans, Yvette Everingham, Daniel Cozzolino, Mark Gishen, Tim Hancock, Adaptive wavelet modeling of a nested 3 factor experimental design in NIR chemometrics Chemolab 82, 122-129 (2006)
- Hancock T, Mamitsuka H., Semi-supervised graph partitioning with decision trees. Genome Inform 20, 102-11 (2008) [pubmed]
- Hancock T, Mamitsuka H., Active pathway identification and classification with probabilistic ensembles. Genome Inform 22, 30-40 (2010) [pubmed]
- Hancock T, Mamitsuka H., A markov classification model for metabolic pathways. Algorithms Mol Biol 5, 10 (2010) [pubmed]
- Hancock T, Takigawa I, Mamitsuka H., Mining metabolic pathways through gene expression. Bioinformatics 26, 2128-35 (2010) [pubmed]
- Hancock T, Wicker N, Takigawa I, Mamitsuka H., Identifying neighborhoods of coordinated gene expression and metabolite profiles. PLoS One 7, e31345 (2012) [pubmed]
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