Lesson plan
DeMix
DeMix is a statistical method for deconvolving mixed cancer transcriptomes to predict the likely proportion of tumor and stromal cell samples using a linear mixture model. It was developed by Ahn et al. Demix explicitly considers four possible scenarios: matched tumor and normal samples, with reference genes; matched tumor and normal samples, without reference genes; unmatched tumor and normal samples, with reference genes; and unmatched tumor and normal samples, without reference genes. Reference genes are a set of genes for which expression profiles have been accurately estimated based on external data in all constituting tissue types.
Article summary
DeMix is a statistical method for deconvolving mixed cancer transcriptomes to predict the likely proportion of tumor and stromal cell samples using a linear mixture model. It was developed by Ahn et al. Demix explicitly considers four possible scenarios: matched tumor and normal samples, with reference genes; matched tumor and normal samples, without reference genes; unmatched tumor and normal samples, with reference genes; and unmatched tumor and normal samples, without reference genes. Reference genes are a set of genes for which expression profiles have been accurately estimated based on external data in all constituting tissue types.
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.