clusterVariantGraph edit page

the MCL algorithm generalized to hyper graphs

Syntax

job.calcVariantGraph
job.clusterVariantGraph
job.calcParentFromVote('minProb',0.5)

Input

job parentGrainReconstructor

Output

job.votes computed parent votes

Options

inflationPower inflation power of the MCL algorithm (default=1.05)
numIter number of iterations (default=10)
cutOff default 0.0001
withDiagonal
keepGraph do not kill graph after clustering
includeSimilar similarly oriented variants share probability
includeTwins potential twins share probability
minCluster minimum cluster size (default 4)

References