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From the individual samples. "0619_N3", "0619_N4" and "0619_N5" (from tumor) all have higher values than that of "0619_P1" (from PBMC). Why does PBMC have higher value than that of tumor after using .by = 'tissue'?
In the figure of individual samples, "0619_N2" does not have "Small" clones while all others have. But in the group view, "adjacent" (from "0619_N2") has over 20% "Small" clones. Also, nearly all samples have high proportion of "Medium" clones, but only tissue "LN" shows in the group view. So, how to understand this?
I am looking forward to hearing you.
Bests,
Yiwei Niu
The text was updated successfully, but these errors were encountered:
Hi,
Thanks for this cool tool!
I have two questions about the visualization of
.by
group data.Here is my data and metadata.
First, I visualized the clonality by proportion.
From the individual samples. "0619_N3", "0619_N4" and "0619_N5" (from tumor) all have higher values than that of "0619_P1" (from PBMC). Why does PBMC have higher value than that of tumor after using
.by = 'tissue'
?Second, visualized the clonal space homeostasis.
In the figure of individual samples, "0619_N2" does not have "Small" clones while all others have. But in the group view, "adjacent" (from "0619_N2") has over 20% "Small" clones. Also, nearly all samples have high proportion of "Medium" clones, but only tissue "LN" shows in the group view. So, how to understand this?
I am looking forward to hearing you.
Bests,
Yiwei Niu
The text was updated successfully, but these errors were encountered: