Differential LC-MS/MS expression tests
This package provides statistical tests for label-free LC-MS/MS data by spectral counts, to discover differentially expressed proteins between two biological conditions. Three tests are available: Poisson GLM regression, quasi-likelihood GLM regression, and the negative binomial of the edgeR package. The three models admit blocking factors to control for nuisance variables. To assure a good level of reproducibility a post-test filter is available, where we may set the minimum effect size considered biologicaly relevant, and the minimum expression of the most abundant condition.
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/86759rfwwp3w5swfar4mhfa07xrh9ksv-r-msmstests-1.34.0.drv | ||
i686-linux | /gnu/store/8bgdxpjj7li4kakvcxdr76hwbakw9g4h-r-msmstests-1.34.0.drv |
Linter | Message | Location |
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No lint warnings ✓ |