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<p>Hi, <br>
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<p style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;">I would like to use Snapclust to obtain group membership probabilities for unknown individuals in respect to pre-defined reference populations. <br>
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<p style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;">As the reference populations are already established, I would like to define the reference clusters <em style="background-color: rgb(255, 255, 255);">a priori</em><span style="background-color: rgb(255, 255, 255);">,</span> then
define k = the number of reference clusters, and the individuals to assign as an open group so to speak. However, k must match the number of priors and I can see no way to provide priors for the reference samples and not the individuals to assign. Is there
a way around this? <br>
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<p style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;">This seems a slightly different approach to what you have documented - using find.clusters and so I just wanted to check if this is a possibility. <br>
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<p style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;">Best,<br>
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<p style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;">Adam Andrews<br>
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<p style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;">Researcher<br>
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<p style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 16px;">UiT The Arctic University of Norway<br>
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