None in maps
Opened this issue · 4 comments
yardenmatok203 commented
Hey,
Is it possible to have nan in input\prediction?
Also, there are regions in the genome that are problematic, did you ignore them?
Thanks,
Yarden
davek44 commented
NaNs indicate that something has gone wrong. Yes, the training data creation stage uses a blacklist of regions that frequently encounter problematic read mapping.
yardenmatok203 commented
where can I find this blacklist?
also, I see there is a variable "seq_hic_nan", so can it be that some of the values are nan?
last question, I have "allValidPairs" format, how can I create cool in your binsize\format?
Thanks,
Yarden
davek44 commented
Yes, for HiC NaNs regularly occur, and we interpolate to set the values.
I'm not familiar with allValidPairs format.
yardenmatok203 commented
Do you know which library can I use?
In my HIC data I have data with bins: 500, 1000, 1500,....
Thank you,
Yarden
…On Mon, Aug 14, 2023 at 12:48 AM David Kelley ***@***.***> wrote:
Yes, for HiC NaNs regularly occur, and we interpolate to set the values.
I'm not familiar with allValidPairs format.
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