Publisher Correction | Published:

Publisher Correction: An evolutionary framework for measuring epigenomic information and estimating cell-type-specific fitness consequences

Nature Geneticsvolume 51page577 (2019) | Download Citation

Correction to: Nature Genetics https://doi.org/10.1038/s41588-018-0300-z, published online 17 December 2018.

In the version of this article initially published, in the Methods section ‘Statistics and data analysis’, subsection ‘Measuring entropy with INSIGHT’, the equation for the maximized log likelihood incorrectly duplicated the equation for entropy; the equation read \(H\left( X \right) = - C\mathop {\sum}\limits_x {P\left( {x|\hat \theta } \right)\log P\left( {x|\hat \theta } \right)}\) but should have read\({\cal L}\left( {\hat \theta ,X} \right) = {{{{\max}}}}_\theta \log P\left( {X|\theta } \right) = {{\max }}_{\theta} \mathop {\sum }\limits_i \log P\left( {X_i|\theta } \right)\). The error has been corrected in the HTML and PDF versions of the article.

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  1. Graduate Field of Computer Science, Cornell University, Ithaca, NY, USA

    • Brad Gulko
  2. Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA

    • Brad Gulko
    •  & Adam Siepel

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Correspondence to Adam Siepel.

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https://doi.org/10.1038/s41588-019-0369-z