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Hi,
a very good tool helps us classify tumors into different immune subtypes!
I run this function and get the results. in the results table, I found there are some discordances between BestCall and probabilities of belonging to each subtype. For instance, in this sample, bestcall indicates C3 subclass but C4 has higher probability. So I don't know which result I need to keep?
and here is the summary infomation in the series. 18 samples have these inconsistent information
Thanks in advance!
The text was updated successfully, but these errors were encountered:
Thanks for writing. The "best call" comes from a classifier that's trained on the C1-C6 scores, and sometimes doesn't agree with the maximum of the scores. There's a figure describing the classifier here (figure 2): https://www.biorxiv.org/content/10.1101/2020.01.17.910950v1
Thanks for writing. The "best call" comes from a classifier that's trained on the C1-C6 scores, and sometimes doesn't agree with the maximum of the scores. There's a figure describing the classifier here (figure 2): https://www.biorxiv.org/content/10.1101/2020.01.17.910950v1
Hi,
a very good tool helps us classify tumors into different immune subtypes!
I run this function and get the results. in the results table, I found there are some discordances between BestCall and probabilities of belonging to each subtype. For instance, in this sample, bestcall indicates C3 subclass but C4 has higher probability. So I don't know which result I need to keep?
and here is the summary infomation in the series. 18 samples have these inconsistent information
Thanks in advance!
The text was updated successfully, but these errors were encountered: