Description Usage Arguments Value Examples
Introduction\ This function is to address single dog problem. It will Identify and do seurat clustering for the single dog & dog+neighbours. ### Input\ the clustered result from Tree.build.2nd.clustering as well as tree.prep and tree.1.ob. singledog.reso should be specified. ### Output\ If there was no single dog, the out put is exactly the same as imput, otherwise, two seurat object would be added at the end, forming a list as whole
1 2 | Tree.build.2nd.clustering.patch(primaries.deeper.lst, tree.prep, tree.1.ob,
singledog.reso = 0.3)
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primaries.deeper.lst |
This is generated by Tree.build.2nd.clustering and Second.primary.adjust |
tree.prep |
This is the low resolution clustering result from Tree.build.prepare |
tree.1.ob |
This is the low reslution subtree result from Tree.build.1 |
singledog.reso |
This is the resolution singledog cluster for 0.3 |
This will return the high resolution result with a pach that consider the single dog. This is going to be used for Tree.build.2nd.treemaking
1 | S4_S5ROCK.tree.2nd.primary_0.3_0.3.list<-Tree.build.2nd.clustering(S4_S5ROCK.tree.prep,S4_S5ROCK.tree.1.ob,second.reso=c(0.3,0.3))
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