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NaN values #4

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snashraf opened this issue Apr 1, 2024 · 1 comment

snashraf commented Apr 1, 2024

Hi team,

I was able to run the charr using hail version.

charr_result = hl.compute_charr(mt, ref_AF=(1 - mt.info.AF[0]))
charr_result.export("charr_result.tsv")
print (charr_result)

I am getting values as NaN for most of sample ? How do we interpret this ? Do you have some suggestion for CHAR score to consider as contaminated ?

The text was updated successfully, but these errors were encountered:

Author

snashraf commented Apr 3, 2024

Hi Team,

Do you have an update on this?

Regards,
Najeeb

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