Pitfalls and opportunities for applying latent variables in single-cell eqtl analyses

HIGHLIGHTS

• who: Angli Xue from the Institute of Medical Research, Sydney, NSW, Australia University of New South Wales have published the article: Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses, in the Journal: (JOURNAL)
• what: The authors show by a series of analyses that PEER and PCA require additional quality control and data transformation steps on the pseudo-bulk matrix to obtain valid latent variables; otherwise it can result in highly correlated factors (Pearson`s correlation r = 0.63 ~ 0.99). To help with the future application of PEER and PCA to . . .
  

   

  

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