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Statistical Analysis and Comprehension of the Human Cell Atlas in R / Bioconductor: Access and Scalable Infrastructure

Focus Bioconductor

Project Goal

To provide R / Bioconductor software to provide coherent programmatic interface to the HCA, and to enable scalable interactive statistical analysis of single-cell data.

Results & Resources

The Irizarry lab worked on statistical methodology for normalization, feature selection and dimension reduction for single-cell RNA-seq. Their tool, glm-pca, is openly available and a preprint has been released detailing their work.


Lead Investigator

Rafael Irizarry
Rafael Irizarry