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ChiMerge [11] ChiMerge is a merging method introduced by Kerber.
It is a merging method using statistic-based ((chi ^2)) to determine the similarity of the adjacent intervals.
A merging method is also proposed to handle clinical trials with partial information to simulate meta-analysis.
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Galaxy also supports simple job splitting, which works at the datatype level, with input datatypes (such as FASTA) needing to provide a split method and output datatypes (such as tabular or BLAST XML) needing to provide a merge method.
Therefore we developed a novel merging method, based on a PCA and SOM which, provides a strong improvement over the simple approach as it significantly reduces the number of single SNPs by re-attributing them to larger regions.
FUSINTER [80] This algorithm is a greedy merging method.
A component forming algorithm is then applied to divide the spectra into components, which is similar to the idea used in AUTOPSY, and a novel merging method is developed to merge some components.
Instead of adopting the over-constraining full cliques as the basis for protein complexes, Li et al. [ 37] devised an LCMA algorithm (Local Clique Merging Algorithm) that adopts a local clique merging method as an attempt to address the current incompleteness limitation of protein interaction data.
Then, a strict region merging method is introduced to prevent mis-merging while superpixels generated.
In this paper we propose a novel splitting and merging method for community detection in which a minimum spanning tree (MST) of dissimilarity between nodes in graph is employed.
We show that assessing how well the relatedness can be predicted based on the CNV profiles is a powerful technique to gauge the quality of a CNV calling and merging method.
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