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kjetil b halvorsen
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I am analysing polymorphisms distribution data from Next Generation Sequencing data using Kernel density estimation (KDE).

However I would like to know if this method permit an unbiased comparisons, i.e.: Does KDE normalise the distribution?

The literature about this is scarce.

Thank you in advance.

I am analysing polymorphisms distribution data from Next Generation Sequencing data using Kernel density estimation (KDE).

However I would like to know if this method permit an unbiased comparisons, i.e.: Does KDE normalise the distribution?

The literature about this is scarce.

Thank you in advance.

I am analysing polymorphisms distribution data from Next Generation Sequencing data using Kernel density estimation (KDE).

However I would like to know if this method permit an unbiased comparisons, i.e.: Does KDE normalise the distribution?

The literature about this is scarce.

Source Link

Does Kernel density estimation normalise the distributions?

I am analysing polymorphisms distribution data from Next Generation Sequencing data using Kernel density estimation (KDE).

However I would like to know if this method permit an unbiased comparisons, i.e.: Does KDE normalise the distribution?

The literature about this is scarce.

Thank you in advance.