Benjamin-Lee / Benjamin-Lee/deep-rules
New paper on DA for scRNA-seq
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Description
[Single-cell RNA-seq denoising using a deep count autoencoder](https://www.nature.com/articles/s41467-018-07931-2#ref-CR33)
> **Denoising enables discovery of subtle cellular phenotypes**
> After having evaluated DCA against competing methods, we tested if DCA denoising could enhance biological discovery which is impossible or more challenging to obtain without denoising. Stoeckius et al. highlight the potential for integrated and multimodal analyses to enhance the discovery of cellular phenotypes, particularly when differentiating between cell populations with subtle transcriptomic differences. (...) After denoising, the two sub-populations of NK cells become visually more clearly evident based on DCA denoised NCAM1 and FCGR3A RNA expression levels .
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Research direction
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Assessment
- Tech stack
- machine-learning
- Domain
- bioinformatics, content, documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100