Comments (5)
As the error suggests, you need to define clustering
as the name of the column in [email protected]
that stores the clustering result you want to use. For example, clustering <- 'Louvain-15'
.
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@YiqunW
Hello, I set "clustering" as Louvain-30,
but the result of tips is
And then I get info my cluster.arguments file is
so I amended my command as clustering <- 'Infomap-30',
but the result was the same as above.
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And I can not clearly understand the next step: this.tip <- tips[tip.to.walk] # tip.to.walk was passed by the cluster job array.
What is the "tip.to.walk"? Did I miss the previous steps?
Many thanks
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Please follow steps in URD-03-ClusteringAndDeterminingTips to transfer clustering assignment for 6-somite data to the main object (see sections "Generate final clusterings" and "Transfer clusterings to main object").
Since the tips represent the most developed cell states in our tree, they should be found at the oldest developmental stage in the data, which is 6-somite. Once you transfer the 6-somite clustering results to the main object, you should choose one of them to set your tips (tips <- setdiff(unique([email protected][,6somiteClustering]), NA)).
tip.to.walk
should correspond to one of the 6-somite clusters you use as your tips. It specifies from which tip the random walks are going to be simulated. We ran this chunk of code as a job array submitted to a research computing cluster so that we can run random walks from each tip in parallel to save time. So in our case tip.to.walk
was passed by the cluster job array, but you can certainly define it in the code.
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@YiqunW ,Thanks for your kind help. and now I run
Do the random walks
these.walks <- simulateRandomWalk(start.cells=tip.cells, transition.matrix=biased.tm, end.cells=root.cells, n=walks.to.do, end.visits=1, verbose.freq=round(walks.to.do/20), max.steps=5000). but I do not know whats is the "n=walks.to.do"? At first, I guessed the number of cells, but after running for a long time, there was no result, just like a dead program.
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