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apComplex (version 2.38.0)

AP-MS complexes: AP-MS data complex estimates

Description

List of complex estimates after filtering baits prone to systematic bias

Usage

data(gavin06FilteredEstimates) data(krogan06FilteredEstimates)

Arguments

Source

Scholtens D and Gentleman R. Making sense of high-throughput protein-protein interaction data. Statistical Applications in Genetics and Molecular Biology 3, Article 39 (2004). Scholtens D, Vidal M, and Gentleman R. Local modeling of global interactome networks. Bioinformatics 21, 3548-3557 (2005).

Details

gavin06FilteredEstimates contains results from an analysis of the AP-MS data published by Gavin et al. (2006). These estimates were constructed using findComplexes with a sensitivity parameter of .70, specificity of .999, and commonFrac=0.5

krogan06FilteredEstimates contains results from an analysis of the AP-MS data published by Krogan et al. (2006). These estimates were constructed using findComplexes with a sensitivity parameter of .70, specificity of .999, and commonFrac=1/3.

Both sets of estimates are reported as lists of length three, corresponding to MBME, SBMH, and UnRBB complex estimate types (see Scholtens et al., 2005). Each of the three elements contains a list of character vectors of estimated complex members.

References

Gavin, et al. (2006)

Krogan, et al. (2006)

See Also

gavinBP2006, kroganBPMat2006, findComplexes

Examples

Run this code
data(gavin06FilteredEstimates)
lapply(gavin06FilteredEstimates,FUN=length)

data(krogan06FilteredEstimates)
lapply(krogan06FilteredEstimates,FUN=length)


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