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sdctools
ptable:Generation of Perturbation Tables for the Cell-Key Method
Tabular data from statistical institutes and agencies are mostly confidential and must be protected prior to publications. The cell-key method is a post-tabular Statistical Disclosure Control perturbation technique that adds random noise to tabular data. The statistical properties of the perturbations are defined by some noise probability distributions - also referred to as perturbation tables. This tool can be used to create the perturbation tables based on a maximum entropy approach as described for example in Giessing (2016) <doi:10.1007/978-3-319-45381-1_18>. The perturbation tables created can finally be used to apply a cell-key method to frequency count or magnitude tables.
Maintained by Tobias Enderle. Last updated 2 years ago.
1 stars 4.59 score 13 scripts 1 dependents
bioc
metapone:Conducts pathway test of metabolomics data using a weighted permutation test
The package conducts pathway testing from untargetted metabolomics data. It requires the user to supply feature-level test results, from case-control testing, regression, or other suitable feature-level tests for the study design. Weights are given to metabolic features based on how many metabolites they could potentially match to. The package can combine positive and negative mode results in pathway tests.
Maintained by Tianwei Yu. Last updated 5 months ago.
technologymassspectrometrymetabolomicspathways
4.00 score 9 scripts