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) |