# Question about interpreting Gene Effect

**URL:** <https://forum.depmap.org/t/question-about-interpreting-gene-effect/328>\
**Category:** Q&A\
**Tags:** genetic-screens, data\
**Created:** [December 3, 2020, 12:12pm UTC](https://forum.depmap.org/t/question-about-interpreting-gene-effect/328 "2020-12-03T12:12:13Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![pmontgom](https://yyz1.discourse-cdn.com/flex035/user_avatar/forum.depmap.org/pmontgom/32/4_2.png) [@pmontgom](https://forum.depmap.org/u/pmontgom)\
**Post date:** [December 8, 2020, 2:53pm UTC](https://forum.depmap.org/t/question-about-interpreting-gene-effect/328/2 "2020-12-08T14:53:05Z")

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Skewed-LRT scores are computed across cell lines, so they describe whether a gene has a long tail. This is to say, that metric characterizes the distribution of gene effects, which sounds to me, different than identifying hits.

If you are interested in calling a “hit” in a cell line as which lines are dependent, it may make sense to look at the “dependency probability” dataset and call those lines where the probably is \> 0.5 as hits.

(see also: [What thresholds should I use to decide if a gene is really having a significant effect on a cell line?](https://forum.depmap.org/t/what-thresholds-should-i-use-to-decide-if-a-gene-is-really-having-a-significant-effect-on-a-cell-line/165) )

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