Why are there fewer available genes/introns in the prediction models than in the GTEx dataset?

PredictDB Team

2021-07-21

Categories: FAQ

The prediction model databases only contain models that pass a stringent criteria (each family of models has its own criteria, e.g. MASHR models require at least one snp with high posterior probability of being an eQTL). Our model training algorithms are complex and conservative. Sometimes, a good enough signal can’t be captured from a gene’s expression profile, even if it has an eQTL. Conversely, sometimes the algorithms converge for genes with complex profiles where no eQTL could be found. On other occasions, the algorithm doesn’t converge.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The source code is licensed under MIT.

Suggest changes

If you find any mistakes (including typos) or want to suggest changes, please feel free to edit the source file of this page on Github and create a pull request.

Citation

For attribution, please cite this work as

PredictDB Team (2021). Why are there fewer available genes/introns in the prediction models than in the GTEx dataset?. PredictDB. /post/2021/07/21/why-are-there-fewer-available-genes-introns-in-the-prediction-models-than-in-the-gtex-dataset/

BibTeX citation

@misc{
  title = "Why are there fewer available genes/introns in the prediction models than in the GTEx dataset?",
  author = "PredictDB Team",
  year = "2021",
  journal = "PredictDB",
  note = "/post/2021/07/21/why-are-there-fewer-available-genes-introns-in-the-prediction-models-than-in-the-gtex-dataset/"
}