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Sometimes we don't know partition allocation fully, so we could use fuzzy/probabilistic allocation where the P matrix elements would not be just 0 or 1, but could be any value from 0 to 1, with the constraint that sum of them must be 1.
This feature request opens a question on how a user would provide such information!? Factor levels formated in a specific way? Say, M|F would indicate that we should allocate 0.5 to M and 0.5 to F partition. Or something like that ...
@janaobsteter also points that this would be needed when we partition by sex and allocate to male founders 100% M partition, and to females founders 100% F partition (we need to think if this is indeed wrong and that 50:50 allocation would be more appropriate - given that this is how we manage Mendelian sampling terms throughout AlphaPart, but indeed for founders the Mendelian sampling term is their breeding value).
The text was updated successfully, but these errors were encountered:
Sometimes we don't know partition allocation fully, so we could use fuzzy/probabilistic allocation where the P matrix elements would not be just 0 or 1, but could be any value from 0 to 1, with the constraint that sum of them must be 1.
This feature request opens a question on how a user would provide such information!? Factor levels formated in a specific way? Say,
M|F
would indicate that we should allocate 0.5 to M and 0.5 to F partition. Or something like that ...@janaobsteter also points that this would be needed when we partition by sex and allocate to male founders 100% M partition, and to females founders 100% F partition (we need to think if this is indeed wrong and that 50:50 allocation would be more appropriate - given that this is how we manage Mendelian sampling terms throughout AlphaPart, but indeed for founders the Mendelian sampling term is their breeding value).
The text was updated successfully, but these errors were encountered: