Our experimental results are shown in Table 1, whose entries are of the form “# MM+ M-wins/#
A-wins (s)”, where A is the algorithm associated with the column.(The parenthesized …

In this paper, we empirically evaluate algorithms for learning four types of Bayesian network
(BN) classifiers - Naive-Bayes, tree augmented Naive-Bayes, BN augmented Naive-Bayes …

The Human Metabolome Database (HMDB) ( www.hmdb.ca ) is a resource dedicated to
providing scientists with the most current and comprehensive coverage of the human …

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 …

The Human Metabolome Database (HMDB, http://www.hmdb.ca ) is a richly annotated resource
that is designed to address the broad needs of biochemists, clinical chemists, physicians…

Continuing improvements in analytical technology along with an increased interest in
performing comprehensive, quantitative metabolic profiling, is leading to increased interest …

The Human Metabolome Database or HMDB ( https://hmdb.ca ) has been providing
comprehensive reference information about human metabolites and their associated biological, …

The book under review here, Building Large Knowledge-Based Systems: Representation and
Inference in the Cyc Project, describes progress so far in an attempt to build a system that …

CFM-ID is a web server supporting three tasks associated with the interpretation of tandem
mass spectra (MS/MS) for the purpose of automated metabolite identification: annotation of …

Metabolomics may have the capacity to revolutionize disease diagnosis through the
identification of scores of metabolites that vary during environmental, pathogenic, or toxicological …