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Articles 1 - 2 of 2
Full-Text Articles in Data Storage Systems
Sheep Updates 2005 - Part 2, Peter Tozer, Janette Drew, K. E. Kemper, M. L. Hebart, F. D. Brien, K. S. Jaensch, R. J. Grimson, D. H. Smith, A. M. M. Ramsay, J. S. Richards, K. D. Atkins, T. Thompson, W. K. Murray, J. R. L. Hall, Chris Carter, Peter Tozer, Mark Hyder, John Young, B. A. Mcgregor, Patricia Harper
Sheep Updates 2005 - Part 2, Peter Tozer, Janette Drew, K. E. Kemper, M. L. Hebart, F. D. Brien, K. S. Jaensch, R. J. Grimson, D. H. Smith, A. M. M. Ramsay, J. S. Richards, K. D. Atkins, T. Thompson, W. K. Murray, J. R. L. Hall, Chris Carter, Peter Tozer, Mark Hyder, John Young, B. A. Mcgregor, Patricia Harper
Sheep Updates
This session covers seven papers from different authors: CONCURRENT SESSIONS - STRATEGIC MANAGEMENT 1.Finishing Pastoral Lambs, Peter Tozer, Patricia Harper, Janette Drew, Department of Agriculture Western Australia 2. Coating Improves Wool Quality under Mixed Farming Conditions, KE Kemper, ML Hebart, FD Brien, KS Grimson, DH Smith AMM Ramsay, South Australian Research and Development Institute 3. J. S. Richards, K.D. Atkins, T. Thompson, W. K. Murray, Australian Sheep Industry Co-operative Research Centre and NSW Department of Primary Industries, Orange Agricultural Institute, Forest Rd. Orange 4. Strategic Risk Management in the Sheep Industry, J.R.L. Hall, ICON Agriculture (JRL Hall & Co) 5. …
Effect Of Training Datasets On Support Vector Machine Prediction Of Protein-Protein Interactions, Siaw Ling Lo, Cong Zhong Cai, Maxey Chung, Yu Zong Chen
Effect Of Training Datasets On Support Vector Machine Prediction Of Protein-Protein Interactions, Siaw Ling Lo, Cong Zhong Cai, Maxey Chung, Yu Zong Chen
Research Collection School Of Computing and Information Systems
Knowledge of protein-protein interaction is useful for elucidating protein function via the concept of 'guilt-by-association'. A statistical learning method, Support Vector Machine (SVM), has recently been explored for the prediction of protein-protein interactions using artificial shuffled sequences as hypothetical noninteracting proteins and it has shown promising results (Bock, J. R., Gough, D. A., Bioinformatics 2001, 17, 455-460). It remains unclear however, how the prediction accuracy is affected if real protein sequences are used to represent noninteracting proteins. In this work, this effect is assessed by comparison of the results derived from the use of real protein sequences with that derived …