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A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more variables than observations
BACKGROUND: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables than observations are now routinely being collected. Finding relationships between response variables of interest and var...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2390543/ https://www.ncbi.nlm.nih.gov/pubmed/18410693 http://dx.doi.org/10.1186/1471-2105-9-195 |