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joda (version 1.20.0)

JODA algorithm for quantifying gene deregulation using knowledge

Description

Package 'joda' implements three steps of an algorithm called JODA. The algorithm computes gene deregulation scores. For each gene, its deregulation score reflects how strongly an effect of a certain regulator's perturbation on this gene differs between two different cell populations. The algorithm utilizes regulator knockdown expression data as well as knowledge about signaling pathways in which the regulators are involved (formalized in a simple matrix model).

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Version

Version

1.20.0

License

GPL (>= 2)

Maintainer

Ewa Szczurek

Last Published

February 15th, 2017

Functions in joda (1.20.0)

deregulation.scores

Calculating deregulation scores.
regulation.scores

Calculating regulation scores.
damage

Knockout data for three regulators: ATM, RelA and p53 in two different cell populations: healthy (referred to as normal) cells and cells treated with neocarzinostatin (referred to as damaged cells).
deregulation.p.values

Calculating deregulation p-values using resampling method.
differential.probs

Calculating probabilities of differential expression in perturbation experiments