# Understanding differential gene expression analysis

**URL:** <https://discourse.scverse.org/t/understanding-differential-gene-expression-analysis/57>\
**Category:** scvi-tools\
**Created:** [March 24, 2021, 6:35pm UTC](https://discourse.scverse.org/t/understanding-differential-gene-expression-analysis/57 "2021-03-24T18:35:00Z")\
**Posts on this page:** 1\
**Showing post:** 5

<div class="post-metadata">

**Author:** ![mxposed](https://yyz1.discourse-cdn.com/flex035/user_avatar/discourse.scverse.org/mxposed/32/27_2.png) [@mxposed](https://discourse.scverse.org/u/mxposed)\
**Post date:** [April 8, 2021, 9:21pm UTC](https://discourse.scverse.org/t/understanding-differential-gene-expression-analysis/57/5 "2021-04-08T21:21:04Z")

</div>

Thank you @PierreBoyeau and @adamgayoso for your replies!

An important note came up in another thread [Feature selection and effects on DGE analysis? - #2 by romain\_lopez](https://discourse.scverse.org/t/feature-selection-and-effects-on-dge-analysis/61/2)  
Related to this, the question is: what are the drawbacks of using all genes for scVI?

A follow-up question: do I get it right that values samples from the model to compare genes are the _ρ_ values (expected frequencies)?

---

_[View the full topic](https://discourse.scverse.org/t/understanding-differential-gene-expression-analysis/57)._
