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Skip to Search Results- 2Bayesian belief network
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- 6Computing Science, Department of/Technical Reports (Computing Science)
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- 2Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
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- 1Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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2005
Dong, Xaoli, Wishart, David S., Stothard, Paul, Greiner, Russ, Guo, AnChi, van Domselaar, Gary H., Szafron, Duane, Shrivastava, Savita, Cruz, Joseph A., Lu, Paul
BASys (Bacterial Annotation System) is a web server that supports automated, in-depth annotation of bacterial genomic (chromosomal and plasmid) sequences. It accepts raw DNA sequence data and an optional list of gene identification information and provides extensive textual annotation and...
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2004
Technical report TR04-22. Model selection problem in Bayesian belief network (BN) structure learning is a classicial problem in the BN literature. To do model selection in BN structure learning, we need a evaluation score and a searching procedure. The generative criteria, AIC, BIC and BDe, are...
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2003
Greiner, Russ, Poulin, B., Lu, Paul, Anvik, J., Lu, Z., Macdonell, Cam, Wishart, David, Eisner, Roman, Szafron, Duane
Technical report TR03-09. Naive Bayes classifiers, a popular tool for predicting the labels of query instances, are typically learned from a training set. However, since many training sets contain noisy data, a classifier user may be reluctant to blindly trust a predicted label. We present a...
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2007
Sawhney, Summit, Greiner, Russ, Querengesser, Lori, Shrivastava, Savita, Vogel, Hans J., Arndt, David, Macinnis, Glen D., Natalie, Zhang, Gavin E., Ying, Duggan, Tang, Peter, Amegbey, Godwin, Jewell, Kevin, Wagner, James, Clements, Tzur, Dan, Bamforth, Fiona, Young, Nelson, Miniaci, Jessica, Nikolai, Lisa, Eisner, Roman, Coutouly, Marie-Aude, Clive, Derrick, Li, Liang, Marrie, Tom, Block, David, Hau, David D., Cheng, Dean, Melisa, Gebremedhin, Stothard, Paul, Forsythe, Ian, Weljie, Alim M., Dowlatabadi, Reza, Wishart, David S., Sykes, Brian D., Fung, Chris, Knox, Craig, Jeroncic, Kevin, Mulu, Guo, Lewis, Mike, Guo, An Chi
The Human Metabolome Database (HMDB) is currently the most complete and comprehensive curated collection of human metabolite and human metabolism data in the world. It contains records for more than 2180 endogenous metabolites with information gathered from thousands of books, journal articles...
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2003
Greiner, Russell, Wishart, David, Eisner, Roman, Lu, Z., Lu, Paul, Macdonell, Cam, Poulin, B., Szafron, Duane, Anvik, J.
Technical report TR03-14. Identifying the destination or localization of proteins is key to understanding their function and facilitating their purification. A number of existing computational prediction methods are based on sequence analysis. However, these methods are limited in scope, accuracy...
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Proteome Analyst - Transparent High-throughput Protein Annotation: Function, Localization and Custom Predictors
Download2003
Lu, Z., Eisner, Roman, Lu, Paul, Macdonell, Cam, Szafron, Duane, Greiner, Russell, Poulin, B., Wishart, David, Anvik, J., Habibi-Nazhad, B.
Technical report TR03-05. Modern sequencing technology now permits the sequencing of entire genomes, leading to thousands of new gene sequences in need of detailed annotation. It is too time consuming to predict the properties of each protein sequence manually and to organize the results of many...
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Quantifying the Uncertainty of a Belief Net Response: Bayesian Error-Bars for Belief Net Inference
Download2007
Van Allen, Tim, Greiner, Russell, Singh, Ajit, Hooper, Peter
Technical report TR07-11. A Bayesian belief network models a joint distribution over variables using a DAG to represent variable dependencies and network parameters to represent the conditional probability of each variable given an assignment to its immediate parents. Existing algorithms assume...
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2005
Greiner, Russell, Schmidt, Mark, Levner, Ilya
Technical report TR05-19. Detecting and segmenting brain tumors in Magnetic Resonance Images (MRI) is an important but time-consuming task performed by medical experts. Automating this process is a challenging task due to the often high degree of intensity and textural similarity between normal...