Name
Title | ||
|---|---|---|
Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp. |
Abstract | ||
|---|---|---|
XERp takes into account the distributional structure of data with a probability mass at zero without requiring any knowledge of the detection limit of the metabolomics platform. XERp is able to identify variables that discriminate between two groups by simultaneously extracting information from the difference in the proportion of zeros and shifts in the distributions of the non-zero observations. XERp uses simple rules to classify new subjects and a weight pair to adjust for unequal sample sizes or sensitivity and specificity requirements. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1480-8 | BMC Bioinformatics |
Keywords | Field | DocType |
Classification,Detection limit,Metabolomics,Probability mass at zero,Variable selection | Probability mass function,Feature selection,Tuberculosis Meningitis,Computer science,Null hypothesis,Metabolomics,Cumulative distribution function,Bioinformatics,Jump,Sample size determination | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mari van Reenen | 1 | 1 | 0.75 |
| Johan A. Westerhuis | 2 | 0 | 1.35 |
| Carolus J Reinecke | 3 | 1 | 0.75 |
| J. Hendrik Venter | 4 | 0 | 0.34 |