# Questions about Cell2location

**URL:** <https://discourse.scverse.org/t/questions-about-cell2location/931>\
**Category:** cell2location\
**Created:** [November 17, 2022, 12:01am UTC](https://discourse.scverse.org/t/questions-about-cell2location/931 "2022-11-17T00:01:22Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![ShuaiWen](https://avatars.discourse-cdn.com/v4/letter/s/a87d85/32.png) [@ShuaiWen](https://discourse.scverse.org/u/ShuaiWen)\
**Post date:** [November 17, 2022, 12:01am UTC](https://discourse.scverse.org/t/questions-about-cell2location/931/1 "2022-11-17T00:01:22Z")

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> > > > Hello everyone!  
> > > > I am a graduate student majored in mathematics from Harbin Institute of Technology of China. My research is focused on Bioinformation. I have recently read paper “Cell2location maps fine-grained cell types in spatial transcriptomics”. I am very interested in this article’s mathematics model and have studied it carefully. But I still have some questions about this paper after reading Supplementary Methods. I would be appreciated if you could give me answers or thoughts about these questions.  
> > > > Question1: How exactly are so many levels of probability graph models constructed? Question2: How should an ablation experiment with so many parameters be designed?  
> > > > How can it be proved that the current model is optimal?  
> > > > So why not add another layer of prior distribution to each hyperparameter of the graph?  
> > > > Question3: If so, how are the specific optimizations implemented in code?

Thanks