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bpms()
Generates a list of happy bipartitions in parallel and then
generates a list of BPMs in parallel. |
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group_genes((i, g1))
group_genes is applied to every gene, and a BPM is generated from every
gene. In particular, given M happy bipartitions, generate a BPM where
the first module contains all genes that appeared in the same set in the M
bipartitions C% of the time and the second module contains all genes
that appeared in the opposite set in the M bipartitions C% of the time. |
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localmaxcut(m)
Generates a random bipartition and makes the bipartition 'happy' by
applying 'Weighted-Flip' (from Leiserson et al., 2011) until there are no
unhappy genes left. |
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get_unhappy(nweights)
Returns all of the genes that are unhappy given a dictionary of
gene ids mapped to its total neighboring weights. |
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random_bipartition()
Creates two random sets of genes from the genetic interaction data. |
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