Last updated: 2020-03-21
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Knit directory: misc/
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binomial thinning ultimate: understand binomial thinning
single cell DE: first try of mouthwash, cate, sva methods on single cell data GSE45719.
single cell DE PBMC: 709 CDT cells from PBMC.
Check MOUTHWASH: compare setting \(\alpha=0\) or \(\alpha=1\) in ash. Setting \(\alpha=1\) outperforms. Why? A look into binomial thinning. How about in read data analysis(instead of using thinned data)? Does setting \(\alpha=1\) give higher likelihood?
Calibration of ruv methods: whether methods acheive claimed fdr level – yes, they all perform comparably
single cell cytokine, two controls: compare two control groups.
single cell cytokine, two controls: filter out genes with < 10 non-zero elements