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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...
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...
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...
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...