presentations
- framing the problem
- the scTransform approach
- the glmPCA approach
- the BASiCS approach
- the scNorm approach
- the BISCUIT approach
- What is the right statistical distribution for modeling technical variability?
- How do we handle mean the mean variance relationship of single cell expression data?
- How do we define what it means to normalize successfully?
- What are potential biological and negative controls that we can use to assess normalization?
- Working Group: Controls
- Working Group: Posterior Predictive Checks
- framing the problem
- the scTransform approach
- the glmPCA approach
- the BASiCS approach
- the scNorm approach
- the BISCUIT approach
- What is the right statistical distribution for modeling technical variability?
- How do we handle mean the mean variance relationship of single cell expression data?
- How do we define what it means to normalize successfully?
- What are potential biological and negative controls that we can use to assess normalization?
- Working Group: Controls
- Working Group: Posterior Predictive Checks
Additional outputs and resources of this meeting live on the normjam github.